Tag: LLM confidence

Most LLMs are overconfident in their answers. Token probability calibration fixes this by aligning confidence scores with real accuracy. Learn how it works, which models are best, and how to apply it.

Recent-posts

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Aug, 12 2025

Secure Prompting for Vibe Coding: How to Ask for Safer Code

Secure Prompting for Vibe Coding: How to Ask for Safer Code

Oct, 2 2025

Fine-Tuned Models for Niche Stacks: When Specialization Beats General LLMs

Fine-Tuned Models for Niche Stacks: When Specialization Beats General LLMs

Jul, 5 2025

Allocating LLM Costs Across Teams: Chargeback Models That Actually Work

Allocating LLM Costs Across Teams: Chargeback Models That Actually Work

Jul, 26 2025

Visualization Techniques for Large Language Model Evaluation Results

Visualization Techniques for Large Language Model Evaluation Results

Dec, 24 2025