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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 few great resources Iโd highly recommend ๐ ๐ Foundational Resource 1. Sutton & Barto โ Reinforcement Learning: An Introduction This is the RL bible. The OG textbook. If youโre serious about RL, this is the place to start. Link - https://amzn.to/42XqCs5 2. Maxim Lapan - Deep Reinforcement Learning Hands-On (3rd Edition) A hands-on book that makes it easier to move from concepts to implementation. Link - https://amzn.to/44D12tG 3. Nathan Lambert - Reinforcement Learning from Human Feedback Perfect for understanding how RL is applied to align large language models. Link - https://rlhfbook.com/ Personally, Iโve found reward modeling and policy gradient optimization to be the trickiest parts in RL. Have you explored RL before?

AI Deep Explorer | f...ย โขย 7m
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 ou
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A (Long) Peek into Reinforcement Learning How do AI agents master games like Go, control robots, or optimize trading strategies? The answer lies in Reinforcement Learning (RL)โwhere agents learn by interacting with environments to maximize rewards.
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AI Deep Explorer | f...ย โขย 7m
LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance
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Hi Everyone! if is looking for project. Please DM me! Salary Depends on experience. What We're Looking For: โข 5+ years of industry experience applying machine learning methods (user modeling, personalization, recommender systems, search, ranking, na
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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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Professional Best Books about artificial intelligence and programming from world best universities like MIT , Carnegie Mellon ,Cambridge Oxford etc Artificial Intelligence Premium books โ 1=} Artificial Intelligence: A Modern Approach Download
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AI Deep Explorer | f...ย โขย 7m
AI Resources for Beginners Books: 1. Deep Learning. Illustrated Edition. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2. Mathematics for Machine Learning. Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. 3. Reinforcement learning, An Introd
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๐DAILY TOP BEST BUSINESS COURSES๐ ๐ Today you will get all best books for learning โ Financial analyst Skill โ With Direct Download link Available freely ๐ ๐กAll resources available start learning now 1. The Richest Man in Babylon โจDownlo
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AI Deep Explorer | f...ย โขย 7m
Top 10 AI Research Papers Since 2015 ๐ง 1. Attention Is All You Need (Vaswani et al., 2017) Impact: Introduced the Transformer architecture, revolutionizing natural language processing (NLP). Key contribution: Attention mechanism, enabling models
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