Jul 6, 2022Purpose and Values at Weights and BiasesAs Weights & Biases grows, we’ve been reflecting on what we love about this company. There are many ways to build a great business, we want to share the approach that works for us. Our mission is to build the best tools for ML practitioners. To develop those tools we…8 min read8 min read
Oct 13, 2021Weights and Biases raises $135m to build a developer-first MLOps platformSince we wrote the first line of code in a small office next to a karate studio, our mission has been to build great tools for ML practitioners. In the process we’ve created a new kind of MLOps platform that the developers, data scientists, and ML engineers who build models…Machine Learning2 min readMachine Learning2 min read
Published inTowards Data Science·Mar 23, 2020Member-onlyMachine Learning Experiment TrackingWhy is experiment tracking so important for doing real world machine learning? — At first glance, building and deploying machine learning models looks a lot like writing code. But there are some key differences that make machine learning harder: Machine Learning projects have far more branching and experimentation than a typical software project. Machine Learning code generally doesn’t throw errors, it just underperforms…Machine Learning Tools6 min readMachine Learning Tools6 min read
Published inTowards Data Science·Jul 25, 2019Member-onlyLightweight Visualization of Keras ModelsI love how simple and clear Keras makes it to build neural networks. …Machine Learning3 min readMachine Learning3 min read
Published inTowards Data Science·Jun 18, 2019Deep Learning and Carbon EmissionsA provocative paper, Energy and Policy Considerations for Deep Learning in NLP by Emma Strubell, Ananya Ganesh and Andrew McCallum has been making the rounds recently. While the paper itself is thoughtful and measured, headlines and tweets have been misleading, with titles like “Deep learning models have massive carbon footprints”…Machine Learning7 min readMachine Learning7 min read
Published inTowards Data Science·Mar 27, 2019Monitor and Improve GPU Usage for Training Deep Learning ModelsOne of the exciting things about running Weights and Biases is that we can research how models are actually using their computational resources in real world scenarios and, since we are making monitoring GPU and memory easy, we wanted to help our users by taking a look at how well…Machine Learning6 min readMachine Learning6 min read
Jan 28, 2019Why are Machine Learning Projects so Hard to Manage?I’ve watched lots of companies attempt to deploy machine learning — some succeed wildly and some fail spectacularly. One constant is that machine learning teams have a hard time setting goals and setting expectations. Why is this? 1. It’s really hard to tell in advance what’s hard and what’s easy. …Machine Learning6 min readMachine Learning6 min read
Nov 26, 2018How to Build a Machine Learning Team When You Are Not Google or Facebook Lately, friends at companies of all sizes and industries have been asking me the same question, “How do I apply machine learning to my business?” These folks know enough to have a sense of good use cases for machine learning. …Machine Learning5 min readMachine Learning5 min read
May 31, 2018Starting a Second Machine Learning Tools Company, Ten Years LaterI’ve spent the last six months heads down building a new machine learning tool called Weights and Biases with my longtime cofounder Chris Van Pelt, my new cofounder and friend Shawn Lewis and brave early users at Open AI, Toyota Research, Uber and others. …Machine Learning6 min readMachine Learning6 min read
Aug 22, 2016What we can learn from AI’s mistakesAI has been making a lot of progress lately by almost any standard. It has quietly become part of our world, powering markets, websites, factories, business processes and soon our houses, our cars and everything around us. But the biggest recent successes have also come with surprising failures. Tesla impressed…Artificial Intelligence4 min readArtificial Intelligence4 min read
