Visual Studio Magazine

Computing the Similarity Between Two Machine Learning Datasets

At first thought, computing the similarity/distance between two datasets sounds easy, but in fact the problem is extremely difficult, explains Dr. James McCaffrey of Microsoft Research. A fairly ...
InfoWorld

Ease into similarity search with Google’s PaLM API

In previous articles we used Google’s PaLM API to generate a blog post and build a chatbot. In this article, we will explore how to generate text embeddings and perform semantic searches using the ...
InfoWorld

Vector databases in LLMs and search

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...
Visual Studio Magazine

Computing the Similarity Between Two Machine Learning Datasets

A fairly common sub-problem in many machine learning and data science scenarios is the need to compute the similarity (or difference or distance) between two datasets. For example, if you select a ...