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Weights and biases raises $50M to advance LLMOps efforts for generative AI

Aug 09, 2023 - venturebeat.com
San Francisco-based startup Weights and Biases has secured $50 million in a funding round to expand its generative AI and LLMops (large language models operations) efforts. The round was led by Daniel Gross and former GitHub CEO Nat Friedman, with participation from Sapphire Ventures, Coatue, Insight Partners, Felicis, BOND, and BloombergBeta. The company, now valued at $1.25 billion, has been developing tools for LLMops, including W&B Prompts, which helps organizations build and manage prompts for LLMs.

Weights and Biases plans to use the new funding to continue expanding its platform and capitalize on growth opportunities. The company's CEO, Lukas Biewald, expressed optimism about the long-term prospects of LLM products, despite the challenges of getting them into production. The company's W&B Prompts tool, one of the first tools announced for LLMOps, is being enhanced to log all of a user's LLM requests and enable larger production scale use cases.

Key takeaways:

  • Weights and Biases has raised $50 million in funding to expand its generative AI and LLMops efforts. The round was led by Daniel Gross and former GitHub CEO Nat Friedman, among others.
  • The company has been developing tools for LLMops, operations for effectively using and scaling gen AI large language models (LLMs). This includes W&B Prompts, a tool for building and managing prompts for LLMs.
  • CEO and cofounder Lukas Biewald believes that while there is enthusiasm around LLMs, getting products into production will take time. He is optimistic for the long term and wants to ensure the company is set up for this.
  • Weights and Biases also has a model registry and CI/CD products to help developers build and iterate models. The company is currently improving these with customer feedback.
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