Using machine-learned models from Vespa Cloud| cloud.vespa.ai
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
In this fourth article of the “Less Slow” series, I’m accelerating Unum’s open-source Vector Search primitives used by some great database and cloud providers to replace Meta’s FAISS and scale-up search in their products. This time, our focus is on the most frequent operation for these tasks - computing the the Cosine Similarity/Distance between two vectors. It’s so common, even doubling it’s performance can have a noticeable impact on applications economics.| ashvardanian.com
How can the 2012 Nobel Prize in Economics, Vector Search, and the world of dating come together? What are the implications for the future of databases? And why do Multi-Modal AI model evaluation datasets often fall short? Synopsis: Stable Marriages are generally computed from preference lists. Those consume too much memory. Instead, one can dynamically recalculate candidate lists using a scalable Vector Search engine. However, achieving this depends on having high-quality representations in a...| ashvardanian.com
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co