Weights and Biases: Streamlining machine learning and AI experimentation

Published: 01 January 1970
on channel: Microsoft for Startups
331
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To train machine learning (ML) and artificial intelligence (AI) models you need to be able to accurately track which experiments are working and which are not. Training an effective model may require millions of runs before it is accurate enough to put into production. So how can a team keep track of their ML and AI experiments?

That’s where Weights & Biases (W&B) comes in. Weights & Biases is an AI and ML developer platform that takes the pain out of machine learning experimentation. The platform allows developers to keep records, log successes and failures, and automate manual tasks. You can think of the tool as a “lab notebook", enabling data scientists and increasingly developers to build and iterate their models faster and more efficiently.

https://wandb.ai/site

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