How Google’s ‘internal RL’ could unlock long-horizon AI agents
via arxiv.org
Short excerpt below. Read at the original source.
Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or fall apart. Instead of training LLMs through next-token prediction, their technique, called internal reinforcement learning (internal RL), steers the model’s internal activations toward developing a high-level step-by-step solution for […]