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Prompt, Context, Output: Using Language Models in Production

What actually determines the quality of a language-model feature: the information you give it and the checks around what comes back.

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Data Preparation: The Work That Decides Your Model's Quality

Labelling, cleaning, splitting and balancing: why the least glamorous part of an AI project drives the results.

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