Weights & Biases, a San Francisco, CA-based end-to-end MLOps platform, closed a $50m funding at a $1.25 billion valuation.
The round was led by Daniel Gross and Nat Friedman, with additional participation from Sapphire Ventures and existing investors Coatue, Insight Partners, Felicis, BOND and BloombergBeta.
The company intends to use the funds to continue to build out these tools, including the launch of Weights & Biases Prompts.
As the adoption of large language models (LLMs) grows, Weights & Biases has continued building out their best-in-class MLOps platform to meet the needs of the most advanced machine learning research in the world.
Led by CEO Lukas Biewald, Weights & Biases is a developer-first MLOps platform that provides enterprise-grade, end-to-end MLOps workflow to accelerate ML activities. W&B is integrated in 20,000 repos, including the LLM repos practitioners rely on like Langchain, LlamaIndex, GPT4All, and specialized infrastructure providers like Coreweave, Lambda and Graphcore. In addition to their partnership with NVIDIA, Weights & Biases has partnered with other leaders in the space like Microsoft, AWS, GCP, Anyscale, and Snowflake.
Weights & Biases has just launched W&B Prompts, which allows LLM builders to understand every step of their LLM programs so they can fine-tune, prompt engineer, and debug the latest foundational models.
The company’s platform is used by over 700,000 ML practitioners including teams at OpenAI, Toyota, Microsoft, and hundreds more. Customers include industry leaders like NVIDIA, OpenAI, Toyota Research Institute, Volkswagen and Square, and emerging players like Cohere.
FinSMEs
09/08/2023