Archive: 2025/08

Calibration and Confidence Metrics for Large Language Model Outputs: How to Tell When an AI Is Really Sure

Calibration ensures LLM confidence matches reality. Learn the key metrics like ECE and MCE, why alignment hurts reliability, and how to fix overconfidence without retraining - critical for high-stakes AI use.

Code Execution as a Tool for Large Language Model Agents: How AI Systems Run Code to Solve Real Problems

Oct, 15 2025
Red Teaming for Privacy: How to Test Large Language Models for Data Leakage

Jan, 10 2026
Batched Generation in LLM Serving: How Request Scheduling Shapes Output Speed and Quality

Oct, 12 2025
Optimizing Attention Patterns for Domain-Specific Large Language Models

Oct, 10 2025
Supply Chain ROI Using Generative AI: Boost Forecast Accuracy and Inventory Turns

Oct, 5 2025

Archive: 2025/08

Calibration and Confidence Metrics for Large Language Model Outputs: How to Tell When an AI Is Really Sure

Recent Post

Code Execution as a Tool for Large Language Model Agents: How AI Systems Run Code to Solve Real Problems

Red Teaming for Privacy: How to Test Large Language Models for Data Leakage

Batched Generation in LLM Serving: How Request Scheduling Shapes Output Speed and Quality

Optimizing Attention Patterns for Domain-Specific Large Language Models

Supply Chain ROI Using Generative AI: Boost Forecast Accuracy and Inventory Turns

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