LLMの予想外の現実世界の啓示

What is Retrieval Augmented Generation (RAG) ? Simplified Explanation

🔵 Want better RAG results? Optimize your Data

Early stages of the reinforcement learning era of language models

Understanding LLMs for Code Generation

小さな LM を微調整して、自分で考え、パズルを解くようにする方法 (GRPO & RL!)

How to fine-tune LLMs for with Tunix

How language model post-training is done today

Reinforcement Learning with Large Datasets: Robotics, Image Generation, and LLMs

AI Practitioner Exam Bites #35: Fine-Tuning Methods for Optimized AI

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning

LLMの説明 | LLMとは

HRPO: RL for Hybrid Latent Reasoning

Hands-on 10: Large Language Model Alignment with Direct Preference Optimization

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Can Wikipedia Help Offline Reinforcement Learning? (Paper Explained)

[UCLA RL-LLM] Chapter 0: Course outline and prologue

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills (ICML 2024)

ReVisual-R1: Staged MLLM Reasoning