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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)

CHAPTER

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.

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