SigOpt

Hello, modelers — we have an announcement to share. It’s time for SigOpt to wind down. After a good 9-year run, we are planning to shift our efforts internally.

What is distillation? In this short video, Meghana Ravikumar explains how distillation transfers the knowledge from a large model to a much smaller one, using BERT as an example: bit.ly/3hNdQDz

Modelers can use SigOpt for nearly anything: #DeepLearning, #MachineLearning, or even Airplane Design. Check out our sample use cases for more examples of how to use SigOpt for your business: bit.ly/45iqW3t

Implement SigOpt with just a few lines of code. Instrument your model code to track runs and model artifacts—here's how to get started: bit.ly/45y8d3D

“Integrating SigOpt into our modeling platform empowers our team to more efficiently experiment, optimize, and ultimately, model at scale.” – Peter Welinder, Research Scientist @OpenAI

Learn how SigOpt helps teams accelerate their model development: sigopt.com