ALucek/rl-for-llms
Context & Guide For Reinforcement Learning with Verifiable Rewards with Large Language Models
This project helps AI engineers and researchers improve how large language models (LLMs) respond to prompts. It guides you through using reinforcement learning to refine an LLM's traits like reasoning, knowledge, and style after initial training. You provide a pretrained LLM and a specific goal for its behavior, and it helps you create an environment to train the LLM, resulting in a more aligned and optimized model.
Use this if you are an AI engineer or researcher looking to apply advanced reinforcement learning techniques to fine-tune large language models for specific, verifiable outcomes.
Not ideal if you are looking for a simple, out-of-the-box solution for basic LLM fine-tuning without diving into the intricacies of reinforcement learning environments.
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Last pushed
Nov 03, 2025
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