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LooksMaxxing Course | Mogwarts Looksmaxxing* essentially refers to any effort to improve your physical appearance, encompassing various strategies from skincare and fitness to fashion. This course offers actionable strategies and expert insights to help you achieve your aesthetic goals. Download Link Happy learning!

Mix Collection Of Learning | Courses Pack Download Link 650+ GB Happy learning!

Pi AI | Your Personal Intelligent ChatGPT Plus For Free Pi is an artificial intelligence chat program that talks like ChatGPT Plus and is free If you still don’t know Pi? it’s fine now you know. It is impossible to keep track of all the AI models and text generators that have appeared in the past couple of years. However, Pi offers plenty of reasons to keep a close eye on it. On the one hand, it is a chatbot created by Inflection AI, a company headed by Mustafa Soliman, one of the founders of Google DeepMind (one of the first companies to bet on neural networks and artificial intelligence, since 2010). This alone is worth paying attention to Some attention to him. But in addition, Microsoft recently hired some of the brightest minds from Inflection AI to work on AI at Microsoft, making Suleiman a visible head of the division. According to its creators, Pi is the first artificial intelligence with emotional intelligence. Inflection AI wants its AI to “build confident, intelligent, friendly, and engaged communicators,” and that’s something you’ll notice as soon as you start chatting with the Pi. The app is currently only available in the web version for browsers, and its design is based on cards that suggest different queries, such as “how to talk to your crush,” “philosophical questions,” “empathy versus empathy,” or more mundane questions. Questions like “How to empty your email inbox.” Pi.AI Here ENJOY & HAPPY LEARNING!

Thanks, Chief

Disassembling is the process of taking something apart, or separating it into its components or subassemblies. Get some of the resources here. [Hidden Content]

Doxing Tools & Resources - Dox Anyone On Social Media Doxing | A Collection Of Most Useful Social Media Dox Resources Facebook Facebook Recover Lookup - [Hidden Content] Used to check if given mail or phone number is associated with any facebook account or not CrowdTangle Link Checker - [Hidden Content] show the specific Facebook posts, Instagram posts, tweets, and subreddits that mention this link. It works for articles, as well as YouTube videos, Facebook videos and more. Social Searcher - [Hidden Content] allows you to monitor all public social mentions in social networks and web. Lookup-id.com - [Hidden Content] helps you to find the Facebook ID of anyone’s profile or a Group Who posted this - [Hidden Content] Facebook keyword search for people who work in the public interest. It allows you to search keywords on specific dates. Facebook Search - [Hidden Content] Allows you to search on facebook for posts,people,photos,etc using some filters Hashatit - [Hidden Content] A simple social media search engine for Hashtags Facebook People Search - [Hidden Content] Search on facebook by victim’s name Facebook Page Analytics tool - [Hidden Content] Find out how your page performances are compared to the average performances of the 42,578 pages added to the Barometer. Instagram Igram - [Hidden Content] Download Photos, Videos, IGTV & more from a public instagram account. IFTTT - [Hidden Content] allow a user to program a response to events in the world. Pickuki - [Hidden Content] Edit and browse Instagram content without logging in. Gramhir - [Hidden Content] Analyze and explore Instagram in a new and better way Instaloader - [Hidden Content] Download pictures (or videos) along with their captions and other metadata from Instagram. LinkedIn RecruitEm - [Hidden Content] allows to search social media profiles. It helps recruiters to create a google boolean string that searches all public profiles. RocketReach - [Hidden Content] allows you to programatically search & lookup contact info over 700 million professionals, and 35 million companies. Twitter Social Bearing - [Hidden Content] Free Twitter analytics & search for tweets, timelines & twitter maps. Find, filter and sort tweets or people by engagement, influence, location, sentiment and more Trendsmap - [Hidden Content] Analyse any topic globally or by region in detail. Create unique map based visualisations showing tweet activity across a country, a region, or the world. Follower.me - [Hidden Content] a Twitter analytics application that gives you rich insights about any public Twitter profile. TweetBeaver - [Hidden Content] can gather data on any non-private account and returns most searches as a csv for easier filtering and analysis. TweeterID - [Hidden Content] allows you to easily look up any username (@Handle) on Twitter and find out what their corresponding ID is. TweetDeck - [Hidden Content] offers a more convenient Twitter experience by letting you view multiple timelines in one easy interface. Spoonbill - [Hidden Content] allows you see profile changes from the people you follow on Twitter or other social networks. FollowerWonk - [Hidden Content] Helps you to find twitter accounts using bio and also provides many other useful features. Twitter Advance Search - [Hidden Content] Allows you to search on twitter using filters for better search results. Twipho - [Hidden Content] lets you discover what’s happening on Twitter right now, but via the medium of images rather than text-based tweets. TweeetMap - [Hidden Content] allows you to analyze twitter accounts that you do not own, and gain accurate insight on influencer interactions and personality TinfoLeak - [Hidden Content] Basic information about a Twitter user (name, picture, location, followers, etc.) ENJOY & HAPPY LEARNING! Appreciate the share & feedback! don’t be cheap!

AI YouTube Video Summarizer | Create Summary With ChatGPT YouTube Summarizer Enter YouTube video URL and get a SEO-optimized article, ready to publish on your blog or website. AI YouTube Video Summarizer - Create Summary With ChatGPT Are you tired of spending hours watching lengthy YouTube videos and wish there was a quicker way to understand the content? Introducing the AI YouTube Video Summarizer powered by ChatGPT, a cutting-edge tool that allows you to generate concise summaries of any YouTube video effortlessly. Visit & Start Exporting ENJOY & HAPPY LEARNING!

Hailuo AI | Unleash Your Creativity | Reimagine Video Creation Reimagine Video Creation : Simple. Joyful. AI-Powered Video Generator | Hailuo AI Video Create stunning AI videos effortlessly with Hailuo AI Video Generator. Our ai video generator and video maker tools offer the best in AI technology for your video needs. Visit & Start Generating Content ENJOY & HAPPY LEARNING!

About | HackStorm No Turning Back - Together We Union Frequently Asked Questions & Guidelines! Is it possible to earn with HackStorm? NO! You cannot, We do not support selling services/products or promotions, So, kindly, avoid asking or using HackStorm for earning/money-making purposes in any direction, Telegram, discord, sale pages, shops, social media, etc, Not allowed here! What Is The Best Thing To Do Before Creating A Topic? We RECOMMEND, reading Rules and Guidance before jumping into anything. If you are supposed to contribute with us, It is highly recommended, that to use the SEARCH ENGINE, advanced searching to make sure whether the content exists or not, any dup, or dump, may get rejected without any concern! What Kind of Content is Not Allowed for Posting? 1. Posting legal content Illegally without the actual owner’s consent 2. Distribution of any Illegal copy of any Branded content is strictly prohibited. 3. Posting legal content Illegally without the actual owner’s consent or any other illegal content that can hurt any brand or individual’s royalty is strictly prohibited from posting. Any other illegal content that can hurt any brand or individual’s royalty is strictly prohibited from posting! Do not post/promote cracked/patched programs/software/themes/paid branded books/Apk’s of any kind. No freeware/shareware of any kind. Udemy course content or any brand’s course/material/books/etc not allowed. Do not share magnet links, torrents of any kind, are not allowed. Do not create a cracking guide that requires the patch/crack tool to crack any Branded app/software. Do not dump anything here if the content is already available here, Repeat the same content that already exists under specific topics or any drive link that gets copied from another one which has the same content. What Kind of “help” Queries Are Not Allowed? We do not allow anyone to ask for the legal stuff illegally! Avoid asking for patched software, keygen, serial, keys, or any premium content or account, no informal requests on anything! Does Requesting Bins/Cookies/Generators/Cards/Cracks/Serial Keys Allowed? No! Requesting BIN/Cookie… etc. are not allowed, you can’t request bins/cookies or any bin methods to get accounts via Topic nor via a reply on any thread. Warning, avoid asking for bin methods to get accounts. You can see bins/cookies-related topics here just use them, but requesting a new one over the given one that has expired or any new bins/cookies/generators is Not Allowed. Whenever the OP has working bins/cookies ready to post, he/she will update the existing topic automatically, that doesn’t mean you can PM them. Requesting/asking for Bin/cookie via thread/reply/PM may cause Account suspension. Does Requesting For Coupons Or Updated Coupons Allowed Here? No! Asking for any coupon of any kind or brand not allowed, and for updating coupons. If the existing coupon is expired/sold out, do not ask for an updated one from any OP or any member, as they will update the thread with updated coupon(s) whenever they want. What If Coupon(s) Giveaway, Expired, Should I Ask Via Post/Reply? No, not allowed! Avoid making a useless reply on the threads that say ‘‘expired’’ ‘‘not working’’ ‘‘bla bla bla’’, those coupons or Giveaway are the limited base (You’re late, better luck next time)… etc. When the new updated ones are available, they will get attached by members or the OPs will update the thread whenever they want. Avoid asking for updating. If you can’t say thanks enough, then better leave the thread without saying a word. Don’t get flagged by others, if you make such replies… Why Does My Topic Need Approval? Each topic requires a Moderator’s Approval, they will check your post(s) & if everything seems to be fine with your post(s) > according to HackStorm’s ToS & FAQ, then your topic will get approved by one of our Moderators & you will get a notification! Don’t panic unless your topic gets approved, but if it gets Rejected there is no notification for rejection, so avoid posting the same topic again and avoid asking any silly questions to any staff members for your rejected post(s), read the FAQ & The Beginners guide twice to determine what you have missed. Remember, asking for approval topics or investigating rejection may cause your account to stay on hold. Is it allowed to post Coupons Here? No, But you can find as much as we can deliver. Is it allowed to post-paid/discounted coupon(s) / discount deals? Sorry, but we don’t allow random paid/discounted coupon(s) or deals! Why My Posted Coupon(s) or Posted Topic Got Rejected? Obvious Reason: Duplicate or the posted content is not allowed! Is it ok, to post something With Torrent Downloadable Link or Magnet URI? Yes, only if the content is legal! Is It Allowed to Post Cracked Tools, Software, or Nulled Scripts? No, IT IS NOT ALLOWED! How Can I Change My Username? Sorry, you can’t change your username on your own. Why, I’m Unable To Create Any Topic or Reply To Any Topic? It is because of your account at Hold/Mute due to a misleading, rule violation, or something like that, that you've tried spamming the forum by ignoring such things. some of them are Duplicate topics, sharing duplicate content, and lastly, due to other specific reasons, sharing branded content, or anything that is listed above or under rules. Do not ask to PM staff about getting excuses, cover have you have mistaken and be responsible next time, the account gets back to work once the expiry exceeds! This is a Civilized Place for Public Discussion Please treat this discussion forum with the same respect you would a public park. We, too, are a shared community resource — a place to share skills, knowledge, and interests through ongoing conversation. These are not hard and fast rules, merely guidelines to aid the human judgment of our community and keep this a clean and well-lighted place for civilized public discourse. Be Agreeable, Even When You Disagree You may wish to respond to something by disagreeing with it. That’s fine. But remember to criticize ideas, not people. Please avoid: - Name-calling - Ad hominem attacks - Responding to a post’s tone instead of its actual content - Knee-jerk contradiction Instead, provide reasoned counter-arguments that improve the conversation. Always Be Civil Nothing sabotages a healthy conversation like rudeness: - Be civil. Don’t post anything that a reasonable person would consider offensive, abusive, or hate speech. - Keep it clean. Don’t post anything obscene or sexually explicit. - Respect each other. Don’t harass or grief anyone, impersonate people, or expose their private information. - Respect our forum. Don’t post spam or otherwise vandalize the forum. These are not concrete terms with precise definitions — avoid even the appearance of any of these things. If you’re unsure, ask yourself how you would feel if your post was featured on the front page of the New York Times. This is a public forum, and search engines index these discussions. Keep the language, links, and images safe for family and friends. Keep It Tidy Make the effort to put things in the right place, so that we can spend more time discussing and less cleaning up. So: - Don’t start a topic in the wrong category. - Don’t cross-post the same thing in multiple topics. - Don’t post no-content replies. - Don’t divert a topic by changing it midstream. - Don’t sign your posts — every post has your profile information attached to it. Rather than posting “+1” or “Agreed”, use the Like button. Rather than taking an existing topic in a radically different direction, use Reply as a Linked Topic. Welcome Onboard - Start Your Journey With HackStorm!

Welcome to our community focused on hacking, cracking, and tech discussions. The content here is intended for educational purposes, but we must ensure a respectful, secure, and organized space. Please read and follow these rules: 1. Educational Intent Only The primary purpose of this forum is for educational discussions on hacking, cracking, and cybersecurity techniques. Use this space to share knowledge, learn, and develop skills. Any discussions must be framed as hypothetical or for research purposes only. No encouragement or incitement to use information for illegal purposes. You are responsible for ensuring that your use of this knowledge complies with your local laws. 2. No Real-World Attacks or Fraud Do not post, request, or share real-world exploits, illegal account access, credit card fraud, or identity theft in a way that directly encourages or facilitates crime. Discussions around vulnerabilities, cracking, and tools are allowed only in an educational context. No sharing of actual stolen data, credentials, or card details. 3. Respect Privacy Do not post, request, or share personal identifying information (e.g., real names, addresses, passwords) without explicit consent. No doxxing or revealing real-world identities, even in hypothetical discussions. Respect the anonymity of members and maintain their privacy. 4. Ethical Use of Tools When sharing tools or exploits, make clear that they are for educational use. Indicate any ethical considerations. Do not post or request malware, ransomware, or any other tool designed with the sole intent to cause harm (outside of educational malware analysis). Posting reverse-engineering tutorials, software bypass methods, and cracking tools is permitted only in a learning or research context. 5. No Real-Life Targeting Do not post or request exploits targeting specific organizations, individuals, or websites with the intent to cause harm. Keep discussions theoretical or related to simulated environments for learning purposes (e.g., Capture the Flag events, private lab setups). 6. No Spam or Unsolicited Promotion Avoid irrelevant promotions, spam, or unsolicited advertisements, especially unrelated to the forum's core topics. Self-promotion of blogs, services, or tools is allowed in designated areas, provided it contributes value to the community. 7. Stay On-Topic Keep discussions within the relevant categories. Off-topic discussions should be limited to the appropriate sections (e.g., Off-Topic Lounge). Use descriptive titles for posts and tag content appropriately to help others navigate. 8. Report and Respect Moderators If you see content that violates these guidelines, report it to the moderators. Moderators will handle all violations, and their decisions are final. Respect their role in maintaining the forum's structure. Any disputes with moderation should be addressed privately. 9. No Harmful Sharing Avoid posting harmful content such as explicit step-by-step guides for criminal activities (e.g., bypassing systems in real-time, phishing). Instead, keep it theoretical. No real-world distribution of cracked software, stolen credentials, or access methods that can lead to direct misuse. 10. Legal Disclaimer All content and discussions on this forum are intended for educational and research purposes only. Forum administrators, moderators, and members are not responsible for any actions taken as a result of the information shared. Users are expected to understand and comply with the laws in their respective countries. Remember Your contributions should aim to educate and foster discussions on hacking and cybersecurity practices in a responsible way. We do not condone illegal activities, and members who directly facilitate or promote illegal use will be removed from the forum

George Blackman - The YouTube Scriptwriter’s Playbook V2 Sales Page: [Hidden Content] [Hidden Content] Happy learning!

VideoProc Converter AI is a fast video processing software that makes full use of Level-3 GPU Acceleration. As a complete video toolbox, it can easily edit, convert, and process your 4K videos. Not just this, it also stands out in video downloading and recording. VideoProc Converter AI Windows version has just upgraded with three remarkable features: Super Resolution: upscale video/image 2x,3x,4x without losing quality; Frame Interpolation: boost fps and Stabilization: fix shaky footage. Supported OS Windows 7/8/8.1/10/11 or later Mac OS X/Lion/Mountain Lion/Mavericks/Yosemite/El Capitan/macOS Sierra/High Sierra/Mojave/Catalina How to get the VideoProc Converter AI license key for free? [Hidden Content] Terms & Conditions This is a lifetime license You can enjoy all the features in v6.8 for Windows and v6.5 for macOS No free upgrade

You will get 2 day trial with good temp mail repeat the process and unlimited use [hide] [Hidden Content] ENJOY

The #1 AI Animation Story Video Generator Animate AI is an all-in-one video generator with cutting-edge AI, delivering stunning video series with consistent character - 10x faster, 30% cost savings! All-in-One AI Video Generation Workflow Everything You Need in One Place – No Experience Needed! AI Consistent Character Generator Simply share your story idea, and our AI will generate characters perfectly tailored to your narrative, making storytelling intuitive, engaging, and efficient. Design and customize unique characters with personalized styles, outfits, and voices, then save them for instant reuse. Whether you’re crafting multi-episode stories or starting fresh, AnimateAI ensures character consistency and seamless continuity. AI Storyboard Generator Effortlessly transform your scripts into editable, detailed storyboards in minutes. With scene descriptions, visuals, narration, and voiceovers seamlessly integrated, our tool simplifies the entire process. Edit stories, refine scenes, and select images with ease—all while enjoying a clear, instant overview of your project. AI Video Generator Transform your ideas into stunning 30-second videos in minutes. With just a simple text prompt, our AI crafts fully customizable, high-quality videos tailored to your vision. Whether you’re creating animation stories, dynamic trailers, motivational clips, heartwarming kids’ bedtime stories, relaxing lofi vibes, or funny comedy skits, the possibilities are endless. Bring your imagination to life with ease! Artificial Intelligence Creates Animation The best video production tool designed specifically for animation! Here you can make professional videos. This service can handle multi-part stories, trailers, music videos, etc. well. The important thing is that animation production here is free! Each user has 60 points to work with each month, which is enough to create three videos. If you need more, you can buy a subscription. In short, Animate AI is an AI tool for creating animations that offers professional features for free (with limitations) and with a paid subscription. [Hidden Content] ENJOY & HAPPY LEARNING!

Equirements: Phone Number, CC/Vcc With 1$ (don’t worry you’ll get the 1$ back.) If you meet those requirements, you’re ready to go. Basically we are going to take the Amazon’s web service trial, for that follow the steps below. Step 1: If you don’t have a cc already go here(For U.S Residents) [Hidden Content] make an account, and add $1 ( If you already have a cc/vcc with 1$ skip this.) For Europe Residents: I would advice Revolut(it requires KYC verification!) Step 2: Go here [Hidden Content] and press “Get Started” and make a account. Step 3: When Amazon will ask you for your cc enter it, you don’t have to worry about anything and for the rest of infos(First & last name etc…) you can either use your real infos(Its’ completely safe) or you can use [Hidden Content] Step 4: Once you have entered all your credentials, if everything is correct you should receive 3 mails from Amazon AWS, 1 for signup, 1 for confirmation… Step 5: Now you can go ahead into the dashboard → Instances and create a Rdp/Vps… this will last 1 Year. Hype

Reverse Engineering eBooks Pack Book List inside the Collection: [Hidden Content]

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A Complete Resource for Developers (By Brandon Kim) 2023 Web Development with Django (Ben Shaw, Saurabh Badhwar, Chris Guest, Bharath Chandra K S) 2023 Google Cloud for Developers (Hector Parra Martinez) 2023 Writing API Tests with Karate (Benjamin Bischoff) 2023 Developing Robust Date and Time Oriented Applications in Oracle Cloud (Michal Kvet) 2023 Jetpack Compose 1.3 Essentials (Neil Smyth) 2023 Quick Start Kubernetes (Nigel Poulton) 2023 Python Clean Code Best Practices and Techniques for Writing Clear, Concise, and Maintainable Code (Nash Maverick) 2023 Oracle PLSQL by Example (Benjamin Rosenzweig, Elena Rakhimov) 2023 MYSQL CRASH COURSE A Hands-on Introduction to Database Development (Rick Silva) 2023 Blockchain Tethered AI, Trackable, Traceable Artificial Intelligence and Machine Learning (Karen Kilroy, Lynn Riley, Deepak Bhatta) 2023 Learning Ray Flexible Distributed Python for Machine Learning (Max Pumperla, Edward Oakes, Richard Liaw) 2023 GitOps Cookbook Kubernetes Automation in Practice (Natale Vinto, Alex Soto Bueno) 2023 Streaming Data Mesh. 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this is just awesome... thanks for this...

Will need more of this. maybe i will break into sections.. too much info here

Thanks for this!

شكرا

To make videos This tool allows you to create your own videos using artificial intelligence easily. How it works: Upload files: First, add the images, videos or audio files you want to this tool. Write commands: Then tell the AI what you want it to do. For example, you can say: “Create a short video of these images with background music”. Create video: The AI automatically prepares a video preview for you within a few minutes. Edit (optional): You can make minor changes to the video if needed. AI Video Composer Compose new videos from your assets using natural language. Add video, image and audio assets, and let Qwen2.5-Coder generate a new video for you (using FFMPEG). AI Composer

Is it free? It uses spaces, wow just great LOL

Hi. In this write up, i will be showing you, how to hack games by editing the memory with cheat engine and will also write a program in python that will automatically edit the memory and do the hack for us. While i was learning game hacking, i noticed that there very little resource about game hacking with python and more on c++. But im a big python fan so i learnt it myself with the help of a really good module in python. Lets get started Finding the Memory Address using cheat engine In this demo, we will be hacking a game called ultrakill. What we will try to do is modify the health and give ourselve alot of health. So, we start up by booting ultrakill and attaching cheat engine into it. So we start up the game and we can see that on start, we have 200 health. Now what we need to do is find the memory address responsible for this health. In cheat engine, we will scan for the int value 200 You can see that it gave us 3,802 memory address with the value 200. We need to narrow it down more. So in game, we will modify our health by using the shotgun explosive in front of us Now we are on 165 health. Now we will scan the lists of address we found before and we will look if any of those value changed to 165. We can do that by using the next scan. Now we are only down to 1 address. Double click it to add it to our address list. We can confirm that this is the memory address of health by changing it, if we change it, our health in the game should change too. And we can see that it does, i changed the value of the address to 300 and my health in the game become 300 too. Noice Finding static pointers that point to the health address Now even though we have found the health address, it is not static. If we reload or restart the game, this address will be invalid. So what we need to do is find static address that points to the memory of the health. We can do that by right clicking the memory address of the health and pointer scan for this address. The default setting is already good so just click ok. It may take a while. We can see that we found alot. We have to narrow this down. To do this, we have to restart the game and find the health address by following the first part of this writeup. Now i already done it and i got the address 0x173AC32475C

In our case, the base address is “mono-2.0-bdwgc.dll”+004A1820. So, first, we have to get the address of mono-2.0-bdwgc.dll and add 0x004A1820 to it to get the base address. In pymeow, Process objects have a dictionary called modules that contains all the modules and those modules are also dictionaries and they have a parameter called baseaddr. Now what we want to do is get the base address of mono-2.0-bdwgc.dll and we can access it with process[“modules”][“mono-2.0-bdwgc.dll”][“baseaddr”], then we will add 0x017C58C0 to it to get the base address of the pointer. We can confirm that this is the right address in cheat engine Now we have to deal with offsets. First, i will explain how offsets works and how we will deal with them. Here, we can see that it has 7 offsets. We can see that below, the first address is 0x7ff920af1820. Then, the first offset came which is 140. What it does is it adds 0x140 bytes to the first address which is 0x7ff920af1820 and then it will get the value in that address with offset. Now that address points to another pointer and again, we will add 0x1F0 bytes into that pointer until we get to the last part which is the actual memory address of the user health. Now, lets implement it in our code. pymeow has a method pointer_chain but its not working for me so we will implement our own function instead. I came up with a function that i called read_offsets. It takes 3 arguments, the first one is the proc, which is the process, the second is the base address, the third is the array of offsets. In line 4, it will get the pointer in the base address. In line 6, it makes a new variable called current_pointer from the basepoint variable. Then it will loop through every offsets except for the last character, what it does is, it will read the pointer in the current_pointer+offset and set the value of current_pointer to it for the next iteration. Then in the last part, it will return the final pointer. We use read_int64 since we are working on a 64 bit program and memory address in 64 bit programs are 8 bytes. Now lets try it if it works I mapped out the offsets into an array in my code. Now lets run it. We can see that it works, it obtained the value 1337 which is the value we set the health earlier in in cheat engine. Now lets try modifying that address using write_int. Now if we get back to the game, We can see that it is successful and our health is now 200. This is the end of my writeup. I hope this resource will help for future hackers that are interested on game hacking with python. Thanks for reading Credits: Brandon Roldan

Now what we need to do next is go back to the pointer scan window, click on pointer scan, then rescan memory. Paste the new address and click OK. Now we have 14958. It is less than our previous scan. You can either repeat the proccess again and try to get the pointer paths lower or you can proceed to the next part. I will not scan anymore for this example Now for the next step, we have to guess. Which of these address do actually point to the address. So we will double click random pointers. Just a note, ignore the threadstacks. I picked 4 values Now we will test if these pointers do actually point to the health. We can do that by restarting the game again. After restarting the game, we can see that their values still match our in game health so that must mean they all actually points to the health address. Now you can pick any of those addresses but i will pick the first one. We can further confirm that this is pointer point to the health by modifying its value Now we are 100% sure that this pointer point to the health address in the game. If we double click it, we can see that it is a multilevel pointer Python Scripting Now in this part, we will be accessing this pointer and we will access the memory address it points to and modify it using python. We will be using pymeow for this writeup since from all the libraries i tested, this is the only one that worked. You can download pymeow here [Hidden Content] So we will make a new script and we will start by importing the library After that, we can start coding. We will follow the cheatsheet of pymeow for [Hidden Content]/blob/master/cheatsheet.txt There is 2 way to get the process, process_by_name, and process_by_pid. We will be using process_by_name since it is easier. In there we passed the name of the program ULTRAKILL.exe. Now, we have to get the base address of the pointer.

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FinGPT: Open-Source Financial Large Language Models Let us not expect Wall Street to open-source LLMs or open APIs, due to FinTech institutes' internal regulations and policies. Blueprint of FinGPT [Hidden Content] What's New: [Model Release] Nov, 2023: We release FinGPT-Forecaster! Demo, Medium Blog & Model are available on Huggingface! [Paper Acceptance] Oct, 2023: "FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets" is accepted by Instruction Workshop @ NeurIPS 2023 [Paper Acceptance] Oct, 2023: "FinGPT: Democratizing Internet-scale Data for Financial Large Language Models" is accepted by Instruction Workshop @ NeurIPS 2023 [Model Release] Oct, 2023: We release the financial multi-task LLMs produced when evaluating base-LLMs on FinGPT-Benchmark [Paper Acceptance] Sep, 2023: "Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models" is accepted by ACM International Conference on AI in Finance (ICAIF-23) [Model Release] Aug, 2023: We release the financial sentiment analysis model [Paper Acceptance] Jul, 2023: "Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models" is accepted by FinLLM 2023@IJCAI 2023 [Paper Acceptance] Jul, 2023: "FinGPT: Open-Source Financial Large Language Models" is accepted by FinLLM 2023@IJCAI 2023 [Medium Blog] Jun 2023: FinGPT: Powering the Future of Finance with 20 Cutting-Edge Applications Why FinGPT? 1). Finance is highly dynamic. BloombergGPT trained an LLM using a mixture of finance data and general-purpose data, which took about 53 days, at a cost of around $3M). It is costly to retrain an LLM model like BloombergGPT every month or every week, thus lightweight adaptation is highly favorable. FinGPT can be fine-tuned swiftly to incorporate new data (the cost falls significantly, less than $300 per fine-tuning). 2). Democratizing Internet-scale financial data is critical, say allowing timely updates of the model (monthly or weekly updates) using an automatic data curation pipeline. BloombergGPT has privileged data access and APIs, while FinGPT presents a more accessible alternative. It prioritizes lightweight adaptation, leveraging the best available open-source LLMs. 3). The key technology is "RLHF (Reinforcement learning from human feedback)", which is missing in BloombergGPT. RLHF enables an LLM model to learn individual preferences (risk-aversion level, investing habits, personalized robo-advisor, etc.), which is the "secret" ingredient of ChatGPT and GPT4. Milestone of AI Robo-Advisor: FinGPT-Forecaster Try the latest released FinGPT-Forecaster demo at our HuggingFace Space The dataset for FinGPT-Forecaster: [Hidden Content] Enter the following inputs: ticker symbol (e.g. AAPL, MSFT, NVDA) the day from which you want the prediction to happen (yyyy-mm-dd) the number of past weeks where market news are retrieved whether to add the latest basic financials as additional information Click Submit！ And you'll be responded with a well-rounded analysis of the company and a prediction for next week's stock price movement! For detailed and more customized implementation, please refer to FinGPT-Forecaster FinGPT Demos: Current State-of-the-arts for Financial Sentiment Analysis FinGPT V3 (Updated on 10/12/2023) What's new: Best trainable and inferable FinGPT for sentiment analysis on a single RTX 3090, which is even better than GPT-4 and ChatGPT Finetuning. FinGPT v3 series are LLMs finetuned with the LoRA method on the News and Tweets sentiment analysis dataset which achieve the best scores on most of the financial sentiment analysis datasets with low cost. FinGPT v3.3 use llama2-13b as base model; FinGPT v3.2 uses llama2-7b as base model; FinGPT v3.1 uses chatglm2-6B as base model. Benchmark Results: Weighted F1 FPB FiQA-SA TFNS NWGI Devices Time Cost FinGPT v3.3 0.882 0.874 0.903 0.643 1 × RTX 3090 17.25 hours $17.25 FinGPT v3.2 0.850 0.860 0.894 0.636 1 × A100 5.5 hours $ 22.55 FinGPT v3.1 0.855 0.850 0.875 0.642 1 × A100 5.5 hours $ 22.55 FinGPT (8bit) 0.855 0.847 0.879 0.632 1 × RTX 3090 6.47 hours $ 6.47 FinGPT (QLoRA) 0.777 0.752 0.828 0.583 1 × RTX 3090 4.15 hours $ 4.15 OpenAI Fine-tune 0.878 0.887 0.883 - - - - GPT-4 0.833 0.630 0.808 - - - - FinBERT 0.880 0.596 0.733 0.538 4 × NVIDIA K80 GPU - - Llama2-7B 0.390 0.800 0.296 0.503 2048 × A100 21 days $ 4.23 million BloombergGPT 0.511 0.751 - - 512 × A100 53 days $ 2.67 million Cost per GPU hour. For A100 GPUs, the AWS p4d.24xlarge instance, equipped with 8 A100 GPUs is used as a benchmark to estimate the costs. Note that BloombergGPT also used p4d.24xlarge As of July 11, 2023, the hourly rate for this instance stands at $32.773. Consequently, the estimated cost per GPU hour comes to $32.77 divided by 8, resulting in approximately $4.10. With this value as the reference unit price (1 GPU hour). BloombergGPT estimated cost= 512 x 53 x 24 = 651,264 GPU hours x $4.10 = $2,670,182.40. For RTX 3090, we assume its cost per hour is approximately $1.0, which is actually much higher than available GPUs from platforms like vast.ai. Reproduce the results by running benchmarks, and the detailed tutorial is on the way. Finetune your own FinGPT v3 model with the LoRA method on only an RTX 3090 with this notebook in 8bit or this notebook in int4 (QLoRA) FinGPT V1 FinGPT by finetuning ChatGLM2 / Llama2 with LoRA with the market-labeled data for the Chinese Market Instruction Tuning Datasets and Models The datasets we used, and the multi-task financial LLM models are available at [Hidden Content] Our Code Datasets Train Rows Test Rows Description fingpt-sentiment-train 76.8K N/A Sentiment Analysis Training Instructions fingpt-finred 27.6k 5.11k Financial Relation Extraction Instructions fingpt-headline 82.2k 20.5k Financial Headline Analysis Instructions fingpt-ner 511 98 Financial Named-Entity Recognition Instructions fingpt-fiqa_qa 17.1k N/A Financial Q&A Instructions fingpt-fineval 1.06k 265 Chinese Multiple-Choice Questions Instructions Multi-task financial LLMs Models: demo_tasks = [ 'Financial Sentiment Analysis', 'Financial Relation Extraction', 'Financial Headline Classification', 'Financial Named Entity Recognition',] demo_inputs = [ "Glaxo's ViiV Healthcare Signs China Manufacturing Deal With Desano", "Apple Inc. Chief Executive Steve Jobs sought to soothe investor concerns about his health on Monday, saying his weight loss was caused by a hormone imbalance that is relatively simple to treat.", 'gold trades in red in early trade; eyes near-term range at rs 28,300-28,600', 'This LOAN AND SECURITY AGREEMENT dated January 27 , 1999 , between SILICON VALLEY BANK (" Bank "), a California - chartered bank with its principal place of business at 3003 Tasman Drive , Santa Clara , California 95054 with a loan production office located at 40 William St ., Ste .',] demo_instructions = [ 'What is the sentiment of this news? Please choose an answer from {negative/neutral/positive}.', 'Given phrases that describe the relationship between two words/phrases as options, extract the word/phrase pair and the corresponding lexical relationship between them from the input text. The output format should be "relation1: word1, word2; relation2: word3, word4". Options: product/material produced, manufacturer, distributed by, industry, position held, original broadcaster, owned by, founded by, distribution format, headquarters location, stock exchange, currency, parent organization, chief executive officer, director/manager, owner of, operator, member of, employer, chairperson, platform, subsidiary, legal form, publisher, developer, brand, business division, location of formation, creator.', 'Does the news headline talk about price going up? Please choose an answer from {Yes/No}.', 'Please extract entities and their types from the input sentence, entity types should be chosen from {person/organization/location}.',] Models Description Function fingpt-mt_llama2-7b_lora Fine-tuned Llama2-7b model with LoRA Multi-Task fingpt-mt_falcon-7b_lora Fine-tuned falcon-7b model with LoRA Multi-Task fingpt-mt_bloom-7b1_lora Fine-tuned bloom-7b1 model with LoRA Multi-Task fingpt-mt_mpt-7b_lora Fine-tuned mpt-7b model with LoRA Multi-Task fingpt-mt_chatglm2-6b_lora Fine-tuned chatglm-6b model with LoRA Multi-Task fingpt-mt_qwen-7b_lora Fine-tuned qwen-7b model with LoRA Multi-Task fingpt-sentiment_llama2-13b_lora Fine-tuned llama2-13b model with LoRA Single-Task fingpt-forecaster_dow30_llama2-7b_lora Fine-tuned llama2-7b model with LoRA Single-Task Tutorials [Training] Beginner’s Guide to FinGPT: Training with LoRA and ChatGLM2–6B One Notebook, $10 GPU Understanding FinGPT: An Educational Blog Series FinGPT: Powering the Future of Finance with 20 Cutting-Edge Applications FinGPT I: Why We Built the First Open-Source Large Language Model for Finance FinGPT II: Cracking the Financial Sentiment Analysis Task Using Instruction Tuning of General-Purpose Large Language Models FinGPT Ecosystem FinGPT embraces a full-stack framework for FinLLMs with five layers: Data source layer: This layer assures comprehensive market coverage, addressing the temporal sensitivity of financial data through real-time information capture. Data engineering layer: Primed for real-time NLP data processing, this layer tackles the inherent challenges of high temporal sensitivity and low signal-to-noise ratio in financial data. LLMs layer: Focusing on a range of fine-tuning methodologies such as LoRA, this layer mitigates the highly dynamic nature of financial data, ensuring the model’s relevance and accuracy. Task layer: This layer is responsible for executing fundamental tasks. These tasks serve as the benchmarks for performance evaluations and cross-comparisons in the realm of FinLLMs Application layer: Showcasing practical applications and demos, this layer highlights the potential capability of FinGPT in the financial sector. FinGPT Framework: Open-Source Financial Large Language Models FinGPT-RAG: We present a retrieval-augmented large language model framework specifically designed for financial sentiment analysis, optimizing information depth and context through external knowledge retrieval, thereby ensuring nuanced predictions. FinGPT-FinNLP: FinNLP provides a playground for all people interested in LLMs and NLP in Finance. Here we provide full pipelines for LLM training and finetuning in the field of finance. The full architecture is shown in the following picture. Detail codes and introductions can be found here. Or you may refer to the wiki FinGPT-Benchmark: We introduce a novel Instruction Tuning paradigm optimized for open-source Large Language Models (LLMs) in finance, enhancing their adaptability to diverse financial datasets while also facilitating cost-effective, systematic benchmarking from task-specific, multi-task, and zero-shot instruction tuning tasks. Open-Source Base Model used in the LLMs layer of FinGPT Feel free to contribute more open-source base models tailored for various language-specific financial markets. Base Model Pretraining Tokens Context Length Model Advantages Model Size Experiment Results Applications Llama-2 2 Trillion 4096 Llama-2 excels on English-based market data llama-2-7b and Llama-2-13b llama-2 consistently shows superior fine-tuning results Financial Sentiment Analysis, Robo-Advisor Falcon 1,500B 2048 Maintains high-quality results while being more resource-efficient falcon-7b Good for English market data Financial Sentiment Analysis MPT 1T 2048 MPT models can be trained with high throughput efficiency and stable convergence mpt-7b Good for English market data Financial Sentiment Analysis Bloom 366B 2048 World’s largest open multilingual language model bloom-7b1 Good for English market data Financial Sentiment Analysis ChatGLM2 1.4T 32K Exceptional capability for Chinese language expression chatglm2-6b Shows prowess for Chinese market data Financial Sentiment Analysis, Financial Report Summary Qwen 2.2T 8k Fast response and high accuracy qwen-7b Effective for Chinese market data Financial Sentiment Analysis InternLM 1.8T 8k Can flexibly and independently construct workflows internlm-7b Effective for Chinese market data Financial Sentiment Analysis Benchmark Results for the above open-source Base Models in the financial sentiment analysis task using the same instruction template for SFT (LoRA): Weighted F1/Acc Llama2 Falcon MPT Bloom ChatGLM2 Qwen InternLM FPB 0.863/0.863 0.846/0.849 0.872/0.872 0.810/0.810 0.850/0.849 0.854/0.854 0.709/0.714 FiQA-SA 0.871/0.855 0.840/0.811 0.863/0.844 0.771/0.753 0.864/0.862 0.867/0.851 0.679/0.687 TFNS 0.896/0.895 0.893/0.893 0.907/0.907 0.840/0.840 0.859/0.858 0.883/0.882 0.729/0.731 NWGI 0.649/0.651 0.636/0.638 0.640/0.641 0.573/0.574 0.619/0.629 0.638/0.643 0.498/0.503 News Columbia Perspectives on ChatGPT [MIT Technology Review] ChatGPT is about to revolutionize the economy. We need to decide what that looks like [BloombergGPT] BloombergGPT: A Large Language Model for Finance [Finextra] ChatGPT and Bing AI to sit as panellists at fintech conference ChatGPT at AI4Finance [YouTube video] I Built a Trading Bot with ChatGPT, combining ChatGPT and FinRL. Hey, ChatGPT! Explain FinRL code to me! Introductory Sparks of artificial general intelligence: Early experiments with GPT-4 [GPT-4] GPT-4 Technical Report [InstructGPT] Training language models to follow instructions with human feedback NeurIPS 2022. The Journey of Open AI GPT models. GPT models explained. Open AI's GPT-1, GPT-2, GPT-3. [GPT-3] Language models are few-shot learners NeurIPS 2020. [GPT-2] Language Models are Unsupervised Multitask Learners [GPT-1] Improving Language Understanding by Generative Pre-Training [Transformer] Attention is All you Need NeurIPS 2017. (Financial) Big Data [BloombergGPT] BloombergGPT: A Large Language Model for Finance WHAT’S IN MY AI? A Comprehensive Analysis of Datasets Used to Train GPT-1, GPT-2, GPT-3, GPT-NeoX-20B, Megatron-11B, MT-NLG, and Gopher FinRL-Meta Repo and paper FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. Advances in Neural Information Processing Systems, 2022. [AI4Finance] FinNLP Democratizing Internet-scale financial data. Interesting Demos GPT-3 Creative Fiction Creative writing by OpenAI’s GPT-3 model, demonstrating poetry, dialogue, puns, literary parodies, and storytelling. Plus advice on effective GPT-3 prompt programming & avoiding common errors. ChatGPT for FinTech ChatGPT Trading Bot [YouTube video] ChatGPT Trading strategy 20097% returns [YouTube video] ChatGPT Coding - Make A Profitable Trading Strategy In Five Minutes! [YouTube video] Easy Automated Live Trading using ChatGPT (+9660.3% hands free) [YouTube video] ChatGPT Trading Strategy 893% Returns [YouTube video] ChatGPT 10 Million Trading Strategy [YouTube video] ChatGPT: Your Crypto Assistant [YouTube video] Generate Insane Trading Returns with ChatGPT and TradingView Citing FinGPT News Columbia Perspectives on ChatGPT [MIT Technology Review] ChatGPT is about to revolutionize the economy. We need to decide what that looks like [BloombergGPT] BloombergGPT: A Large Language Model for Finance [Finextra] ChatGPT and Bing AI to sit as panellists at fintech conference ChatGPT at AI4Finance [YouTube video] I Built a Trading Bot with ChatGPT, combining ChatGPT and FinRL. Hey, ChatGPT! Explain FinRL code to me! Introductory Sparks of artificial general intelligence: Early experiments with GPT-4 [GPT-4] GPT-4 Technical Report [InstructGPT] Training language models to follow instructions with human feedback NeurIPS 2022. The Journey of Open AI GPT models. GPT models explained. Open AI's GPT-1, GPT-2, GPT-3. [GPT-3] Language models are few-shot learners NeurIPS 2020. [GPT-2] Language Models are Unsupervised Multitask Learners [GPT-1] Improving Language Understanding by Generative Pre-Training [Transformer] Attention is All you Need NeurIPS 2017. (Financial) Big Data [BloombergGPT] BloombergGPT: A Large Language Model for Finance WHAT’S IN MY AI? A Comprehensive Analysis of Datasets Used to Train GPT-1, GPT-2, GPT-3, GPT-NeoX-20B, Megatron-11B, MT-NLG, and Gopher FinRL-Meta Repo and paper FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. Advances in Neural Information Processing Systems, 2022. [AI4Finance] FinNLP Democratizing Internet-scale financial data. Interesting Demos GPT-3 Creative Fiction Creative writing by OpenAI’s GPT-3 model, demonstrating poetry, dialogue, puns, literary parodies, and storytelling. Plus advice on effective GPT-3 prompt programming & avoiding common errors. ChatGPT for FinTech ChatGPT Trading Bot [YouTube video] ChatGPT Trading strategy 20097% returns [YouTube video] ChatGPT Coding - Make A Profitable Trading Strategy In Five Minutes! [YouTube video] Easy Automated Live Trading using ChatGPT (+9660.3% hands free) [YouTube video] ChatGPT Trading Strategy 893% Returns [YouTube video] ChatGPT 10 Million Trading Strategy [YouTube video] ChatGPT: Your Crypto Assistant [YouTube video] Generate Insane Trading Returns with ChatGPT and TradingView Citing FinGPT @article{yang2023fingpt, title={FinGPT: Open-Source Financial Large Language Models}, author={Yang, Hongyang and Liu, Xiao-Yang and Wang, Christina Dan}, journal={FinLLM Symposium at IJCAI 2023}, year={2023} } @article{zhang2023instructfingpt, title={Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models}, author={Boyu Zhang and Hongyang Yang and Xiao-Yang Liu}, journal={FinLLM Symposium at IJCAI 2023}, year={2023} } @article{zhang2023fingptrag, title={Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models}, author={Zhang, Boyu and Yang, Hongyang and Zhou, tianyu and Babar, Ali and Liu, Xiao-Yang}, journal = {ACM International Conference on AI in Finance (ICAIF)}, year={2023} } @article{wang2023fingptbenchmark, title={FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets}, author={Wang, Neng and Yang, Hongyang and Wang, Christina Dan}, journal={NeurIPS Workshop on Instruction Tuning and Instruction Following}, year={2023} } @article{2023finnlp, title={Data-centric FinGPT: Democratizing Internet-scale Data for Financial Large Language Models}, author={Liu, Xiao-Yang and Wang, Guoxuan and Yang, Hongyang and Zha, Daochen}, journal={NeurIPS Workshop on Instruction Tuning and Instruction Following}, year={2023} } LICENSE MIT License Disclaimer: We are sharing codes for academic purposes under the MIT education license. Nothing herein is financial advice, and NOT a recommendation to trade real money. Please use common sense and always first consult a professional before trading or investing. GitHub: [Hidden Content]

This week Google-backed Anthropic announced its upgraded AI model Claude 3.5 Sonnet could "perform tasks like navigating web browsers, filling forms, and manipulating data." Now Google plans something similar for Chrome, reports 9to5Linux.com:According to The Information, Google is "developing artificial intelligence that takes over a person's web browser to complete tasks such as gathering research, purchasing a product or booking a flight." "Project Jarvis" — in a nod to J.A.R.V.I.S. in Iron Man — would operate in Google Chrome and is a consumer-facing (rather than enterprise) feature to "automate everyday, web-based tasks." The article doesn't specify whether this would be for mobile or desktop... Given a command/action, Jarvis works by taking "frequent screenshots of what's on their computer screen, and interpreting the shots before taking actions like clicking on a button or typing into a text field." The Information reports that Google "plans to preview the product, also known as a computer-using agent, as early as December alongside the release of its next flagship Gemini large language model, which would help power the product, two of the people said." Source: 9to5google

Artificial Intelligence for Beginners - A Curriculum AI For Beginners - Sketchnote by @girlie_mac Explore the world of Artificial Intelligence (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI What you will learn Mindmap of the Course In this curriculum, you will learn: Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (GOFAI). Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - TensorFlow and PyTorch. Neural Architectures for working with images and text. We will cover recent models but may be a bit lacking in the state-of-the-art. Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems. What we will not cover in this curriculum: Business cases of using AI in Business. Consider taking Introduction to AI for business users learning path on Microsoft Learn, or AI Business School, developed in cooperation with INSEAD. Classic Machine Learning, which is well described in our Machine Learning for Beginners Curriculum. Practical AI applications built using Cognitive Services. For this, we recommend that you start with modules Microsoft Learn for vision, natural language processing, Generative AI with Azure OpenAI Service and others. Specific ML Cloud Frameworks, such as Azure Machine Learning, Microsoft Fabric, or Azure Databricks. Consider using Build and operate machine learning solutions with Azure Machine Learning and Build and Operate Machine Learning Solutions with Azure Databricks learning paths. Conversational AI and Chat Bots. There is a separate Create conversational AI solutions learning path, and you can also refer to this blog post for more detail. Deep Mathematics behind deep learning. For this, we would recommend Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is also available online at [Hidden Content]. For a gentle introduction to AI in the Cloud topics you may consider taking the Get started with artificial intelligence on Azure Learning Path. Content Lesson Link PyTorch/Keras/TensorFlow Lab 0 Course Setup Setup Your Development Environment I Introduction to AI 01 Introduction and History of AI - - II Symbolic AI 02 Knowledge Representation and Expert Systems Expert Systems / Ontology /Concept Graph III Introduction to Neural Networks 03 Perceptron Notebook Lab 04 Multi-Layered Perceptron and Creating our own Framework Notebook Lab 05 Intro to Frameworks (PyTorch/TensorFlow) and Overfitting PyTorch / Keras / TensorFlow Lab IV Computer Vision PyTorch / TensorFlow Explore Computer Vision on Microsoft Azure 06 Intro to Computer Vision. OpenCV Notebook Lab 07 Convolutional Neural Networks & CNN Architectures PyTorch /TensorFlow Lab 08 Pre-trained Networks and Transfer Learning and Training Tricks PyTorch / TensorFlow Lab 09 Autoencoders and VAEs PyTorch / TensorFlow 10 Generative Adversarial Networks & Artistic Style Transfer PyTorch / TensorFlow 11 Object Detection TensorFlow Lab 12 Semantic Segmentation. U-Net PyTorch / TensorFlow V Natural Language Processing PyTorch /TensorFlow Explore Natural Language Processing on Microsoft Azure 13 Text Representation. Bow/TF-IDF PyTorch / TensorFlow 14 Semantic word embeddings. Word2Vec and GloVe PyTorch / TensorFlow 15 Language Modeling. Training your own embeddings PyTorch / TensorFlow Lab 16 Recurrent Neural Networks PyTorch / TensorFlow 17 Generative Recurrent Networks PyTorch / TensorFlow Lab 18 Transformers. BERT. PyTorch /TensorFlow 19 Named Entity Recognition TensorFlow Lab 20 Large Language Models, Prompt Programming and Few-Shot Tasks PyTorch VI Other AI Techniques 21 Genetic Algorithms Notebook 22 Deep Reinforcement Learning PyTorch /TensorFlow Lab 23 Multi-Agent Systems VII AI Ethics 24 AI Ethics and Responsible AI Microsoft Learn: Responsible AI Principles IX Extras 25 Multi-Modal Networks, CLIP and VQGAN Notebook Each lesson contains Pre-reading material Executable Jupyter Notebooks, which are often specific to the framework (PyTorch or TensorFlow). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebook (either PyTorch or TensorFlow). Labs available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem. Some sections contain links to MS Learn modules that cover related topics. Getting Started We have created a setup lesson to help you with setting up your development environment. - For Educators, we have created a curricula setup lesson for you too! How to Run the code in a VSCode or a Codepace Don't forget to star () this repo to find it easier later. Meet other Learners Join our official AI Discord server to meet and network with other learners taking this course and get support. Quizzes Help Wanted Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. Special Thanks Primary Author: Dmitry Soshnikov, PhD Editor: Jen Looper, PhD Sketchnote illustrator: Tomomi Imura Quiz Creator: Lateefah Bello, MLSA Core Contributors: Evgenii Pishchik Other Curricula Our team produces other curricula! Check out: Data Science for Beginners Version 2.0 Generative AI for Beginners NEW Cybersecurity for Beginners Web Dev for Beginners IoT for Beginners Machine Learning for Beginners XR Development for Beginners Mastering GitHub Copilot for AI Paired Programming GitHub Repo ENJOY & HAPPY LEARNING!

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Welcome to Hack Storm! Hello and a warm welcome to our community! We’re thrilled to have you here. This is a space for sharing ideas, asking questions, and connecting with others who share your interests. To get started: Introduce Yourself: Head over to the introduction thread and tell us a bit about yourself! Explore the Topics: Check out the various categories and see what catches your eye. Join the Conversation: Feel free to jump into discussions or start your own thread. Remember, this is a friendly community, so be respectful and supportive. If you have any questions, don’t hesitate to reach out to a moderator or fellow members. Happy posting! — The Hack Storm Team