mbzuai-oryx/Awesome-LLM-Post-training
Awesome Reasoning LLM Tutorial/Survey/Guide
This collection helps AI researchers and practitioners understand and apply advanced techniques for enhancing Large Language Models (LLMs) to perform complex reasoning tasks. It compiles influential papers, code, and benchmarks on 'post-training' methods like fine-tuning and reinforcement learning. Researchers and developers working on making AI models smarter and more capable of logical thought would use this to improve their LLM's performance.
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Use this if you are an AI researcher or developer looking for comprehensive resources to improve the reasoning and decision-making capabilities of large language models through advanced training techniques.
Not ideal if you are an end-user simply looking to apply pre-trained LLMs without diving into their underlying training methodologies.
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Oct 14, 2025
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