N-Gram House

Tag: temperature

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 (89)
  • History (50)
  • Business AI Strategy (22)
  • Software Development (19)
  • AI Security (12)

Recent Posts

Parameter-Efficient Generative AI: LoRA, Adapters, and Prompt Tuning Explained Feb, 11 2026
Parameter-Efficient Generative AI: LoRA, Adapters, and Prompt Tuning Explained
When to Transition from Vibe-Coded MVPs to Production Engineering Oct, 15 2025
When to Transition from Vibe-Coded MVPs to Production Engineering
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
Ethical Considerations of Vibe Coding: Who’s Responsible for AI-Generated Code? Dec, 29 2025
Ethical Considerations of Vibe Coding: Who’s Responsible for AI-Generated Code?
Legal Services and Generative AI: Document Automation, Contract Review, and Knowledge Management May, 20 2026
Legal Services and Generative AI: Document Automation, Contract Review, and Knowledge Management

Menu

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

© 2026. All rights reserved.