Weights & Biases AI developer platform Get started with one line of code “I love Weave for a number of reasons. The fact that I could just add a library to our code and all of a sudden I’ve got a whole bunch of information about the GenAI portion of our product, in Weights & Bi...
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The integrations will enable organizations adopting NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform, to take advantage of the Weights & Biases MLOps platform to accelerate deep learning workloads across computer vision, natural language processing, and generative AI. “Weights & ...
Michelle Bergeron is the Security Engineer at Weights & Biases. She was a former Security Software Engineer at Microsoft. A systems programmer at heart, she previously developed kernel mode drivers on the Windows USB team before entering the world of inf
Weights and biases changed the way I interact with my models. September 10, 2024 Review verified byG2 What do you like best about the product? The best thing about W&B is that you don't need to think about performance visualization anymore. W&B handles that for you, no matter how many...
Weights and Biases's mission is to build tools for Machine Learning practitioners. Weights and Biases software helps Machine Learning teams track their models, datasets and experiments and is used and loved by over 70,000 practitioners. Weights and Biases (W&B) was founded by Lukas Biewald, Sh...
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production. - wandb/wandb
Resource utilization tracking can help machine learning engineers improve their software pipeline and model performance. This blog discusses how to use Weights & Biases to inspect the efficiency of TensorFlow training jobs.
Weave is a toolkit for developing Generative AI applications, built byWeights & Biases! You can use Weave to: Log and debug language model inputs, outputs, and traces Build rigorous, apples-to-apples evaluations for language model use cases ...
Weights & Biases’ Model Diagnostics Platform A model diagnostics platform should offer quick iteration, easy collaboration, and a centralized system of record for ML teams. Because ML development is often closer to a science than traditional software engineering, experimentation is at its core, and ...