W&B Models by Weights & Biases
Train, fine-tune, and manage AI models
W&B Models, from Weights & Biases, helps you train, fine-tune, govern, and manage AI models from experimentation to production. You can run more experiments, analyze them interactively, and quickly build higher-quality models. Use the W&B Registry to centralize the tracking of models, datasets, metadata, and their lineage to support governance, and reproducibility. Also, automate workflows for training, evaluation, and deployment to enable rapid iteration.
Reviews for W&B Models by Weights & Biases
Hear what real users highlight about this tool.
When the loss goes down the model gets more gooder, so ofc we like it when we can view lots of lines together in one place (and store terrabytes of validation samples)
Not many tools out there which are as strong and useful in monitoring AI model training
We use Weights and Biases to track our machine learning experiments.
WandB was essential to developing the hyperparameters used in the training of Augmentoolkit models. The LLMs that my tool and I produce would not be half as good without the ability to stare at pages of graphs -- and WandB is the best graph-staring tool there is in ML. WandB is integrated into Augmentoolkit -- I hope to help create the next generation of graph-starers!
Weights & Biases stood out for its experiment tracking and collaboration features, making it way easier to manage and optimize our analysis performance compared to other tools
We rely on Weights & Biases to track, visualize, and collaborate on our machine learning models. It's crucial for monitoring our AI models' training performance, ensuring that our biomechanics analysis and recommendation systems are accurate and evolving efficiently.