reinforcement-learning
3 notes tagged reinforcement-learning in the Applied LLMs topic. Putting language models to work: retrieval, prompting, evaluation and the behavior you only learn in production.
- Proximal policy optimization
Proximal policy optimization (PPO) is an algorithm that aims to improve the stability of training by avoiding overly large policy updates. It is a popular and effective…
- Reward model
A Reward model is a critical component in Reinforcement Learning for Large Language Models (LLMs), designed to evaluate and score the quality of generated responses. It…
- Introduction to reinforcement learning and its application with LLMs
An introduction to Reinforcement Learning (RL), a machine learning method where an agent learns to make decisions by interacting with an environment. This article covers…