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 (87)
  • History (50)
  • Business AI Strategy (21)
  • Software Development (19)
  • AI Security (11)

Recent Posts

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
Human-in-the-Loop Practices That Make Vibe Coding Safe and Effective Jul, 3 2026
Human-in-the-Loop Practices That Make Vibe Coding Safe and Effective
HumanEval and Code Benchmarks: How to Test LLM Programming Ability in 2026 Jun, 15 2026
HumanEval and Code Benchmarks: How to Test LLM Programming Ability in 2026
Instruction Tuning for Large Language Models: Building Better Followers Jun, 25 2026
Instruction Tuning for Large Language Models: Building Better Followers
How Finance Teams Are Using Generative AI to Improve Forecasting and Variance Analysis Mar, 23 2026
How Finance Teams Are Using Generative AI to Improve Forecasting and Variance Analysis

Menu

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

© 2026. All rights reserved.