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Deep Learning Architecture

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How are large language models trained? Jul 22, 2026 · 10:09 LLMs are trained in two phases: pre-training via next token prediction, followed by post-training using SFT or RL to ensure safety and helpfulness. Scaling this requires complex GPU parallelism.

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How are large language models trained?

LLMs are trained in two phases: pre-training via next token prediction, followed by post-training using SFT or RL to ensure safety and helpfulness. Scaling this requires complex GPU parallelism.

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