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 (78)
  • History (50)
  • Business AI Strategy (18)
  • Software Development (17)
  • AI Security (9)

Recent Posts

Replit for Vibe Coding: Cloud Dev, Agents, and One-Click Deploys Jan, 14 2026
Replit for Vibe Coding: Cloud Dev, Agents, and One-Click Deploys
Trademark and Generative AI: How Synthetic Content Is Risking Your Brand Dec, 3 2025
Trademark and Generative AI: How Synthetic Content Is Risking Your Brand
How to Reduce Bias in LLMs: Data Cleaning and Training Strategies May, 28 2026
How to Reduce Bias in LLMs: Data Cleaning and Training Strategies
Incident Response for Generative AI: Handling Model Failures and Abuse Feb, 26 2026
Incident Response for Generative AI: Handling Model Failures and Abuse
Prefix Tuning and Prompt Tuning Explained: Efficient LLM Adapters Guide Mar, 30 2026
Prefix Tuning and Prompt Tuning Explained: Efficient LLM Adapters Guide

Menu

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

© 2026. All rights reserved.