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Generative AI

LLM

A large language model trained to predict the next token — which turns out to be enough.

The training objective is unglamorous: given some text, predict what comes next. Applied to enough text with enough parameters, that single objective produces summarisation, translation, code and argument.

Everything downstream — instruction following, tool use, refusal behaviour — is added afterwards through fine-tuning and reinforcement learning from feedback on top of that base model.

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