N-Gram House

Tag: max tokens

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

Compute Budgets and Roadmaps for Scaling Large Language Model Programs Jun, 8 2026
Compute Budgets and Roadmaps for Scaling Large Language Model Programs
How Cross-Functional Committees Ensure Ethical Use of Large Language Models Aug, 14 2025
How Cross-Functional Committees Ensure Ethical Use of Large Language Models
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
How Generative AI Transforms Insurance Claims: Triage, Letters, and Fraud Detection Jul, 14 2026
How Generative AI Transforms Insurance Claims: Triage, Letters, and Fraud Detection
KPIs for Governance: Policy Adherence, Review Coverage, and MTTR Mar, 15 2026
KPIs for Governance: Policy Adherence, Review Coverage, and MTTR

Menu

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

© 2026. All rights reserved.