AI Deep Explorer | f...ย โขย 2m
Give me 2 minutes, I will tell you How to Learn Reinforcement Learning for LLMs A humorous analogy for reinforcement learning uses cake as an example.ย Reinforcement learning, much like baking a cake, involves trial and error to achieve a desired outcome (a delicious cake) by learning from rewards (delicious cake) and penalties (burnt cake).ย Unsupervised learning is the foundation (the cake itself), supervised learning adds the frosting, and reinforcement learning is the cherry on top, the final touch. โ Most important paper for LLM Reinforcement Learning -ย Asynchronous Deep Reinforcement Learningย (Google Deepmind 2016) https://lnkd.in/gQUK3xmb - Reinforcement Learning from Human (OpenAI 2017) https://lnkd.in/gf5iPfhJ -Proximal Policy Optimization (OpenAI 2017) https://lnkd.in/gAG6As-7 -Fine-Tuning Language Models from Human Preferencesย (OpenAI 2020) https://lnkd.in/gsfxReUg -Learning to Summarize from Human Feedbackย (OpenAI 2022) https://lnkd.in/grUG-XHU -Direct Preference Optimization( Stanford University 2023) https://lnkd.in/gTKSQnCN - Group Relative Policy Optimization ( DeepSeek 2024) https://lnkd.in/gkNRn5sh -reinforcement learning with verifiable rewards (DeepSeek 2025) https://lnkd.in/gcksvi-v โซธ Books for Reinforcement Learning -Reinforcement Learning from Human Feedback (Nathan Lambert) https://lnkd.in/gJW4JmiS -Reinforcement Learning: Industrial Applications (Phil Winder) https://amzn.to/4iufoQz -Reinforcement Learning (Richard S. Sutton) https://amzn.to/4jf0SNv Keep exploring, keep growing, and always give back!
AI Deep Explorer | f...ย โขย 2m
Having worked on Reinforcement Learning, itโs always fascinating to see how itโs being applied in the world of LLMs. If youโre curious about how RL powers modern LLM agents, especially in areas like reward modeling, and policy gradients here are a f
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The best way to learn about LLMs is to read the actual papers that highlight the fundamental ideas behinds LLMs. I'd prob first start off by learning about the attention mechanism which can be detailed in the following paper and try to implement a
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๐ช๐ฎ๐ป๐ ๐๐ผ ๐ฏ๐ฒ๐ฐ๐ผ๐บ๐ฒ ๐ฎ๐ป ๐๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ ๐ถ๐ป 2025? Learn AI from the ground up with these ๐๐ฅ๐๐ YouTube channels that make it all crystal clear Letโs be honestโYouTube can teach you more about AI than a lot of university degrees, From
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My Favorite AI & ML Books That Shaped My Learning Over the years, Iโve read tons of books in AI, ML, and LLMs โ but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst
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The ultimate AI/ML roadmap for beginners ๐ ๐ ๐ฎ๐๐ต๐ What to learn: โข Linear Algebra โข Calculus โข Statistics Resources: โข Practical Statistics for Data Science( https://amzn.to/446czl5 ) โข Mathematics for Machine Learning( https://amzn.to/441s
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Old is Gold: Deep Learning Classics In the fast-paced world of AI, itโs easy to overlook the timeless gems that laid the foundation for modern deep learning. Hereโs a curated list of classic, high-quality courses taught by pioneers of the field tha
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If I were learning RAG from scratch in 2025... here's exactly how I'd do it. But here I bring you the ultimate resource list for absolutely no cost. RAG is one of the most practical, production-ready LLM patterns today. Here's All you need to get s
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Day 1/100 : FREE AI Resource Sharing Topic of Day: History Of Artificial Intelligence(AI) Books โณ"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig https://lnkd.in/gzSCYnf9 โณ "The Master Algorithm: How the Quest for t
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