Categories: AI/ML News

Humans change their own behavior when training AI

A new cross-disciplinary study by Washington University in St. Louis researchers has uncovered an unexpected psychological phenomenon at the intersection of human behavior and artificial intelligence: When told they were training AI to play a bargaining game, participants actively adjusted their own behavior to appear more fair and just, an impulse with potentially important implications for real-world AI developers.

Understand Model Behavior During Training by Visualizing Metrics

You can learn a lot about neural networks and deep learning models by observing their performance over time during training. For example, if you see the training accuracy went worse with training epochs, you know you have issue with the optimization. Probably your learning rate is too fast. In this…

February 27, 2023

In "AI/ML Research"

How should AI systems behave, and who should decide?

February 17, 2023

In "FAANG"

Train Your Large Model on Multiple GPUs with Fully Sharded Data Parallelism

This article is divided into five parts; they are: • Introduction to Fully Sharded Data Parallel • Preparing Model for FSDP Training • Training Loop with FSDP • Fine-Tuning FSDP Behavior • Checkpointing FSDP Models Sharding is a term originally used in database management systems, where it refers to dividing…

December 31, 2025

In "AI/ML Research"

AI Generated Robotic Content