Tag: language model calibration

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

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

How Finance Teams Use Generative AI for Smarter Forecasting and Variance Analysis

How Finance Teams Use Generative AI for Smarter Forecasting and Variance Analysis

Dec, 18 2025

Caching and Performance in AI-Generated Web Apps: Where to Start

Caching and Performance in AI-Generated Web Apps: Where to Start

Dec, 14 2025

Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything

Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything

Oct, 12 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