
Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Enhancing Reasoning in Language Models
This chapter examines the role of attention in large language models and its influence on reasoning capabilities. It discusses training techniques, including the introduction of noise and the chain of thought concept, to improve arithmetic performance and overall model accuracy.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.