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LLMs that can "think" and "reason" have become increasingly popular. But what is a model actually doing when it's "thinking" and how can we train LLMs to be better at reasoning? This explainer video covers the fundamentals of how thinking models work, including concepts like scaling laws, test-time compute, and reinforcement learning from verifiable rewards.
Resources:
Gemini thinking →
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Speaker: Nikita Namjoshi
Products Mentioned: Google AI
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2025/12/03
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