Build AI Applications Faster with Declarative ML

Predibase has announced the general availability and free trial of its low-code AI platform, designed to simplify the development of AI-powered applications by enabling developers and data scientists to build and fine-tune models without needing to master complex ML frameworks. The platform employs a "Declarative ML" approach, inspired by technologies like dbt and Terraform, allowing users to define desired outcomes while the platform automates the creation of end-to-end ML pipelines. This approach, already adopted by companies like Uber and Meta, allows for rapid iteration and deployment of models, drastically reducing development time. Predibase also introduces the Data Science Copilot, a tool that aids iterative model improvement, and supports privately hosted, customized Large Language Models (LLMs) that can be tailored to specific enterprise workflows. The platform offers both a managed cloud and a virtual private cloud option for deployment, catering to the needs of various organizations, from startups to Fortune 500 companies.

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