Scaling LLM-Powered Document Understanding
Learn how to build production-grade document understanding systems using private LLMs.
Learn how to build production-grade document understanding systems using private LLMs.
Metaflow 2.12 introduces a new API for launching and managing flows which enables a number of highly requested use cases, such as executing flows in notebooks, as demonstrated in this article.
The latest version of Metaflow includes support for AWS Trainium hardware accelerators which allow you to train large models cost-efficiently on AWS.
Outerbounds is now available on all cloud marketplaces. Learn why and how to develop ML/AI systems quickly without cloud lock-in.
Metaflow and Outerbounds were at PyData Global! We hosted sessions on full stack ML and emphasized discussions on the evolution of the compute layer of the ML stack. This post organizes the presentations in a quick choose-your-own-adventure read.
You can now install dependencies from PyPI as well as Conda in your Metaflow steps.
Metaflow on Azure provides one of the most user-friendly machine learning experiences on Azure, both for data scientists as well as engineers.