N-Gram House

Tag: top-k

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 (131)
  • Business AI Strategy (54)
  • History (50)
  • Software Development (45)
  • AI Security (32)

Recent Posts

Grammar-Constrained LLM Outputs: A Guide for Enterprise Applications Jun, 21 2026
Grammar-Constrained LLM Outputs: A Guide for Enterprise Applications
Email and CRM Automation with LLMs: Personalization at Scale Jul, 30 2026
Email and CRM Automation with LLMs: Personalization at Scale
Pilot-to-Production: Hardening Vibe-Coded Apps for Real Users Oct, 20 2026
Pilot-to-Production: Hardening Vibe-Coded Apps for Real Users
Error-Forward Debugging: How to Use LLMs and Stack Traces for Faster Fixes May, 30 2026
Error-Forward Debugging: How to Use LLMs and Stack Traces for Faster Fixes
Cross-Attention in Encoder-Decoder Transformers: When LLMs Need Conditioning Jul, 7 2026
Cross-Attention in Encoder-Decoder Transformers: When LLMs Need Conditioning

Menu

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

© 2026. All rights reserved.