Tag: top-p sampling

Temperature and Top-p in Large Language Models: Controlling Creativity and Precision

Temperature and Top-p in Large Language Models: Controlling Creativity and Precision

Learn how to control AI output using Temperature and Top-p parameters. Discover optimal settings for coding, creative writing, and factual tasks to balance precision and creativity.

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How Next-Word Prediction Works: Token Probability Distributions in LLMs

How Next-Word Prediction Works: Token Probability Distributions in LLMs

Learn how LLMs use token probability distributions, logits, and softmax to predict the next word. Explore sampling strategies like Top-P and Temperature to control AI creativity.

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Recent Post

  • Token Efficiency: How to Train Better LLMs with Less Data

    Token Efficiency: How to Train Better LLMs with Less Data

    Sep, 1 2026

  • Scenario Modeling for Generative AI Investments: Best, Base, and Worst Cases

    Scenario Modeling for Generative AI Investments: Best, Base, and Worst Cases

    Feb, 16 2026

  • AI Pair PM: How AI Agents Are Automating Product Requirements from Draft to Final

    AI Pair PM: How AI Agents Are Automating Product Requirements from Draft to Final

    Mar, 1 2026

  • Deterministic Prompts: How to Reduce Variance in LLM Responses

    Deterministic Prompts: How to Reduce Variance in LLM Responses

    Oct, 12 2026

  • Reasoning in Large Language Models: Mastering CoT, Self-Consistency, and Debate

    Reasoning in Large Language Models: Mastering CoT, Self-Consistency, and Debate

    Apr, 25 2026

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