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ARENA Lecture, Week 3 Day 4: Building and Evaluating LLM Agents
Huggingface TRL vs Unsloth RL: Reinforcement Learning Frameworks. How to fine tuning LLMs - Gemma 4
A New Fine-Tuning Approach for LLMs Using Evolution Strategies
Gentle Introduction to LLM Post Training!
Proximal Policy Optimization (PPO) for LLMs Explained Intuitively
Reinforcement Learning (RL) for LLMs
Reinforcement learning is terrible – Andrej Karpathy
2 - Deep RL and RL post-training intro
LLM Post-Training: Reinforcement Learning, Scaling, and Fine-Tuning
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Last Updated: October 4, 2026
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For more information about Stanford's graduate We're into the most important part of the book, the reinforcement learning CS 185/285 Deep Reinforcement Learning, Decision Making, and Control (Spring 2026) ... The last two days will focus on building and evaluating If you've been following the AI space for more than ten minutes, you know that Fine-tuning is what makes today's large language models truly powerful, but the way we've been doing it has limits. In this video, I break down Proximal Policy Optimization (PPO) from first principles, without assuming prior knowledge of ... Full episode: youtube.com/watch?v=lXUZvyajciY Me on twitter: x.com/dwarkesh_sp Andrej Karpathy helped ... Ref: arxiv.org/abs/2502.21321 This document provides a comprehensive survey of
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