Ritesh Modi – Principal Engineer

In my previous installment (READ HERE) , I explored how embedding models struggle with basic language variations like unit of measurement and domain specific sentences. The community response was remarkable – clearly, many of you have encountered similar challenges in your work. Today, I’m expanding our investigation to uncover even more concerning blind spots I’ve identified through extensive testing. These fundamental issues have profound implications for how we approach AI system development.

This article is the third entry in my Hallucinations by Design series, building directly on our examination of embedding hallucinations. For optimal comprehension, I strongly suggest reading the previous articles first (HERE and HERE) to establish the essential background needed to fully appreciate the concepts we’ll be discussing here. This sequential approach will provide you with a more coherent understanding of these critical issues.

Read more here…https://hackernoon.com/hallucinations-by-design-part-3-trusting-vectors-without-testing-them