Weights and Biases, a San Francisco-based startup, recently released an update of their MLOps platform to support Large Language Model (LLM) users. This new tool set, known as LLMOps, enables users to develop prompt-based applications with a series of chained prompts that result in an optimized output. This allows organizations and individuals to save time and effort in fine-tuning models rather than building entirely new ones.
The surge of the generative AI and large language model era has created a need for the tools offered by Weights and Biases. With their wealth of features, including parameter optimization, reporting, artifact tracking, model workflow management, and deployment, the platform caters to a wide range of machine learning practitioners. This update adheres to the company mission to “build the best tools for machine learning practitioners.” CEO and co-founder Lukas Biewald notes that this makes machine learning available to software developers and practically anyone interested in using their model for real-world applications with minimal training.
W&B Prompts offers capabilities for debugging and scoring of OpenAI-based LLMs with LangChain framework integration and OpenAI Eval. For users needing sentiment analysis from a dataset, this process can be completed with minimal effort.
W&B is a platform that focuses on machine learning and artificial intelligence (AI). Its mission is to provide users with the best cloud-based, MLOps platform to maximize their ability to scale and deploy models. Their products are used by professionals to help with development, management, and deployment of production-grade models. W&B is committed to continuously improving their platform and driving the use of AI to improve processes throughout organizations.
Lukas Biewald is the CEO and co-founder of Weights and Biases. With a background in natural language processing research and experience at both data startups (Adometer and Crowdflower), he has a wide range of development and research skills. He has a firm understanding of what machine learning practitioners need and has focused Weights and Biases platform on catering for their needs. Biewald is a regular guest on podcasts such as Emerging Tech, Changelog, and O’Reilly AI to share his experiences, thoughts, and predictions on the future of AI.
