N-Gram House

Tag: top-p

Controlling Length and Structure in LLM Outputs: Practical Decoding Parameters

Controlling Length and Structure in LLM Outputs: Practical Decoding Parameters

Learn how to control LLM output length and structure using decoding parameters like temperature, top-k, top-p, and repetition penalties. Practical settings for real-world use cases.

Categories

  • Machine Learning (101)
  • History (50)
  • Business AI Strategy (34)
  • Software Development (25)
  • AI Security (21)

Recent Posts

OWASP Top 10 for Vibe Coding: AI-Specific Examples and Fixes Apr, 21 2026
OWASP Top 10 for Vibe Coding: AI-Specific Examples and Fixes
Hardware Constraints That Limit Scaling for Large Language Models: The Physical Wall May, 13 2026
Hardware Constraints That Limit Scaling for Large Language Models: The Physical Wall
Tool-Use Integration: How Calculators, Search, and Code Fix LLM Accuracy Jul, 13 2026
Tool-Use Integration: How Calculators, Search, and Code Fix LLM Accuracy
Ethical Use of Synthetic Data in Generative AI: Benefits and Boundaries Apr, 6 2026
Ethical Use of Synthetic Data in Generative AI: Benefits and Boundaries
Service Level Objectives for Maintainability: Key Indicators and Alert Strategies Feb, 7 2026
Service Level Objectives for Maintainability: Key Indicators and Alert Strategies

Menu

  • About
  • Terms of Service
  • Privacy Policy
  • CCPA
  • Contact

© 2026. All rights reserved.