N-Gram House

Tag: repetition penalty

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 (110)
  • History (50)
  • Business AI Strategy (38)
  • Software Development (29)
  • AI Security (24)

Recent Posts

Vision-Language Applications with Multimodal Large Language Models: A Practical Guide Jul, 22 2026
Vision-Language Applications with Multimodal Large Language Models: A Practical Guide
Y Combinator Startups and Vibe Coding: Lessons from 91% AI-Generated Codebases Jul, 19 2026
Y Combinator Startups and Vibe Coding: Lessons from 91% AI-Generated Codebases
Privacy and Security Risks of Distilled LLMs: A Practical Guide Aug, 21 2026
Privacy and Security Risks of Distilled LLMs: A Practical Guide
Autoregressive Text Generation in LLMs: How Next-Token Prediction Works Sep, 6 2026
Autoregressive Text Generation in LLMs: How Next-Token Prediction Works
Infrastructure as Code for Vibe-Coded Deployments: Repeatability by Design Jun, 23 2026
Infrastructure as Code for Vibe-Coded Deployments: Repeatability by Design

Menu

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

© 2026. All rights reserved.