N-Gram House

Tag: hallucinations in AI

Debugging Large Language Models: Diagnosing Errors and Hallucinations

Debugging Large Language Models: Diagnosing Errors and Hallucinations

Debugging large language models requires new techniques beyond traditional coding. Learn how hallucinations happen, how to diagnose them with prompt tracing, SELF-DEBUGGING, and LDB, and why data quality matters more than ever.

Categories

  • Machine Learning (82)
  • History (50)
  • Business AI Strategy (21)
  • Software Development (19)
  • AI Security (11)

Recent Posts

Preventing Prompt Injection: A Guide to Sanitizing Inputs for Secure GenAI Apr, 10 2026
Preventing Prompt Injection: A Guide to Sanitizing Inputs for Secure GenAI
Colorado SB24-205 Guide: Impact Assessments and AI Risk Management May, 25 2026
Colorado SB24-205 Guide: Impact Assessments and AI Risk Management
Temperature Tuning for LLMs: How to Balance Creativity and Precision May, 11 2026
Temperature Tuning for LLMs: How to Balance Creativity and Precision
How Cross-Functional Committees Ensure Ethical Use of Large Language Models Aug, 14 2025
How Cross-Functional Committees Ensure Ethical Use of Large Language Models
When to Transition from Vibe-Coded MVPs to Production Engineering Oct, 15 2025
When to Transition from Vibe-Coded MVPs to Production Engineering

Menu

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

© 2026. All rights reserved.