Reasoning Models
Five chapters on how LLMs reason: test-time compute, failure modes, latency, cost and risks when models use tools.
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Video summary
The ideas to retain
Contents
1. What "reasoning" means for an LLM
Which definitions of reasoning can be useful in the context of language models. The emergence of explicit reasoning-model product families, with OpenAI o1 as an important inflection point.
2. How these systems fail
Failure modes are not purely random: shortcuts, systematic errors, objective drift and other recurring patterns. Methods for detecting and mitigating these failures.
Next step
