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A startup is building two AI-powered features: a creative writing assistant that generates marketing copy with varied, unexpected language for A/B testing, and a product description generator that must produce consistent, on-brand messaging for an e-commerce catalog. Both features use the same Claude API integration. The CTO wants to configure a single integration that handles both use cases without switching models or endpoints. Which parameter should they adjust between requests to control whether output is creative vs deterministic?

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intermediate 20 min

Sampling Parameters

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What temperature for consistent code generation?

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Setting temperature=0, top_p=1, top_k=1. What is the effect?

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