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W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues. Is it fast and reliable enough for your workflow?
Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, promptengineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Model management Teams typically manage their models, including versioning and metadata.
We have someone from Adobe using it to help manage some promptengineering work that they’re doing, for example. We have someone precisely using it more for feature engineering, but using it within a Flask app. Depending on your size, you might have a data catalog. Piotr: Sounds like something with data, right?
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