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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

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?

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Model management Teams typically manage their models, including versioning and metadata.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

We have someone from Adobe using it to help manage some prompt engineering 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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