What’s Wrong with LLMs (Large Language Models) and What We Should be Building Instead
Earlier this year, BigML’s Chief Scientist and Oregon State University Emeritus Professor Tom Dietterich gave a keynote presentation titled “What’s
Machine Learning Made Simple
Earlier this year, BigML’s Chief Scientist and Oregon State University Emeritus Professor Tom Dietterich gave a keynote presentation titled “What’s
BigML offers a chat support interface, where our users get their questions about our platform answered quickly. Recently, an academic
As Machine Learning solutions to real-world problems spread, people are beginning to acknowledge the glaring need for solutions that go
As Machine Learning use grows, the need for engineering solutions to cover all the diversity of real end-to-end scenarios that
Today, we are happy to share that BigML Ops is now available to BigML users including both our MLaaS subscribers
I’m not going to bury the lede: Most machine learning benchmarks are bad. And not just kinda-sorta nit-picky bad, but catastrophically
Last year, BigML launched the OptiML resource for Automatic Model Optimization. Without a doubt, it has marked a milestone in
As of late, we’ve been using PostgreSQL in BigML quite a lot, and so do some of our customers. We
In my previous two posts in this series, I’ve essentially argued both sides of the same issue. In the first,
In the first in this series of posts, I discussed a bit about why deep learning isn’t fundamentally different from