Categories: AI/ML News

Harvard, MIT, and Wharton research reveals pitfalls of relying on junior staff for AI training

New study by Harvard, MIT, Wharton, and BCG researchers finds that relying on junior employees to train seniors on generative AI risks is ineffective, highlighting the need for top-down governance and expertise at all levels.Read More

The Incognito Mode Myth Has Fully Unraveled

To settle a years-long lawsuit, Google has agreed to delete “billions of data records” collected from users of “Incognito mode,” illuminating the pitfalls of relying on Chrome to protect your privacy.

April 2, 2024

In "AI/ML News"

Building a Robust Machine Learning Pipeline: Best Practices and Common Pitfalls

In real life, the machine learning model is not a standalone object that only produces a prediction.

November 6, 2024

In "AI/ML Research"

Over-training large language models may make them harder to fine-tune

A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton University, all in the U.S., has found that if large language models are over-trained, it might make them harder to fine-tune. In their paper posted on the arXiv preprint server, the group compared the…

April 15, 2025

In "AI/ML News"

AI Generated Robotic Content