
Active Learning and Human Feedback for Large Language Models
An explanation of active learning principles and their adaptation for Large Language Models (LLMs) using human-in-the-loop (HITL) feedback for model alignment.
An explanation of active learning principles and their adaptation for Large Language Models (LLMs) using human-in-the-loop (HITL) feedback for model alignment.
An overview of Reinforcement Learning (RL) and RLHF. Learn how RL uses reward functions and how RLHF incorporates human judgments to train AI agents.
A technical guide to Reinforcement Learning from Human Feedback (RLHF). This article covers its core concepts, training pipeline, and key alignment algorithms.