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Temperature and top-p: tuning when the answer matters more than novelty

Temperature and top-p: tuning when the answer matters more than novelty

  • John Doe
  • Prompting , Sampling
  • 09 May, 2026

Temperature and top-p are the two sampling paramet ...

Forcing structured output without breaking the model

Forcing structured output without breaking the model

  • William Jacob
  • Output , Reliability
  • 04 May, 2026

JSON mode and schema constraints look like a free ...

Few-shot examples: choose them like you choose unit tests

Few-shot examples: choose them like you choose unit tests

  • Sam Wilson
  • Prompting , Best Practices
  • 02 May, 2026

A prompt with five well-chosen examples beats the ...

Chain-of-thought prompting that holds up under pressure

Chain-of-thought prompting that holds up under pressure

  • John Doe
  • Prompting , Reasoning
  • 30 Apr, 2026

Chain-of-thought prompting is the easiest reasonin ...

Tool use patterns that survive context decay

Tool use patterns that survive context decay

  • Jane Doe
  • Tool Use , Reliability
  • 22 Apr, 2026

Tool use looks easy in a one-shot example and hard ...

Mastering prompt engineering for production use

Mastering prompt engineering for production use

  • John Doe
  • Prompting , Production
  • 12 Apr, 2026

Lorem ipsum dolor sit amet consectetur adipisicing ...

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Categories
  • Prompting (5)
  • Production (1)
  • Tool use (1)
  • Reliability (3)
  • Architecture (2)
  • Context (1)
  • Reasoning (1)
  • Best practices (1)
  • Tools (1)
  • Function calling (1)
  • Security (1)
  • Prompt injection (1)
  • Rag (1)
  • Sampling (2)
  • Output (1)
  • System prompts (1)
Tags
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  • Reliability
  • Context
  • Performance
  • Chain of thought
  • Few shot
  • Function calling
  • Security
  • Injection
  • Rag
  • Retrieval
  • Self consistency
  • Sampling
  • Json
  • Schema
  • System prompt
  • Temperature
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