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 (72)
  • History (50)
  • Software Development (13)
  • Business AI Strategy (10)
  • AI Security (8)

Recent Posts

Choosing Model Families for Scalable LLM Programs: Practical Guidance Apr, 8 2026
Choosing Model Families for Scalable LLM Programs: Practical Guidance
Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs Nov, 28 2025
Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs
How to Deploy Vibe-Coded Apps to Production Clouds in 2026 Jun, 2 2026
How to Deploy Vibe-Coded Apps to Production Clouds in 2026
Architectural Innovations Powering Modern Generative AI Systems Nov, 7 2025
Architectural Innovations Powering Modern Generative AI Systems
How Generative AI Drives Revenue: Cross-Sell, Upsell, and Conversion Lifts in 2026 May, 14 2026
How Generative AI Drives Revenue: Cross-Sell, Upsell, and Conversion Lifts in 2026

Menu

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

© 2026. All rights reserved.