Tag: AI bias

Large language models exhibit hidden biases from training data, human feedback, and internal architecture. New research reveals pro-AI bias, AI-AI bias, and methods to detect and fix them before they cause real harm.

Recent-posts

How Training Duration and Token Counts Affect LLM Generalization

How Training Duration and Token Counts Affect LLM Generalization

Dec, 17 2025

Guarded Tool Access: Sandboxing External Actions in LLM Agents

Guarded Tool Access: Sandboxing External Actions in LLM Agents

Mar, 2 2026

Containerizing Large Language Models: CUDA, Drivers, and Image Optimization

Containerizing Large Language Models: CUDA, Drivers, and Image Optimization

Jan, 25 2026

Service Level Objectives for Maintainability: Key Indicators and How to Set Alerts

Service Level Objectives for Maintainability: Key Indicators and How to Set Alerts

Mar, 16 2026

Template Repos with Pre-Approved Dependencies for Vibe Coding: Setup, Best Picks, and Real Risks

Template Repos with Pre-Approved Dependencies for Vibe Coding: Setup, Best Picks, and Real Risks

Feb, 20 2026