Weights & Biases weaves new LLMOps capabilities for AI development and model monitoring

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San Francisco startup Weights & Biases is expanding its platform today with the launch of two new features designed to help organizations more easily build and monitor machine learning (ML) models.

Facilitating LLMOps

The Weights & Biases platform includes tools to enable an AI/ML development lifecycle. At the end of April, the company added new tools to enable LLMOps, that is, workflow operations for supporting and developing large language models (LLMs). The new additions announced today, W&B Weave and W&B Production Monitoring, aim to help organizations more easily operate efficient AI models for production workloads.

Although Weave was only officially announced today, the first iterations have been central to how Weights & Biases has built its overall platform to provide a toolkit for visualizing the development of the 'IA.

"[Weave] is a very important part of our roadmap, it's something I've personally been working on for two and a half years now," said Shawn Lewis, CTO and co-founder of Weights & Biases, at VentureBeat. "It's fundamental, so there's a lot you can do on top of that; it's a tool to customize your tools to suit your problem area."

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Lewis explained that Weave was originally designed as a tool for understanding patterns and data in the context of a visual, iterative user interface experience.

He described Weave as a toolkit containing composable UI primitives that a developer can put together to create an AI application. Weave is also about the user experience; this can help data scientists develop interactive data visualizations.

“Weave is a toolkit for composing user interfaces together, hopefully in a way that is extremely intuitive for our users and software engineers working with LLMs,” Lewis said. "It helps us bring tools to market internally very quickly, because we can create visual experiences on new types of data very easily."

In fact, Weave is the tool that Weights & Biases used internally to develop the Prompts tools that were announced in April. This is the basis that also enables the new production monitoring tools.