How are large language models trained?

DeepMind’s Nikita Namjoshi breaks ​​down the two core phases of how large language models are trained: pre-training and post-training. Learn how next token prediction builds a model's foundation, and how supervised fine-tuning, reinforcement learning, and Autoraters refine it into a safe, helpful assistant.

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Speaker: Nikita Namjoshi
Products Mentioned: Google AI, Gemini