Learn how NVIDIA NIM and Outerbounds are simplifying the deployment of large language models, giving enterprises the tools to securely scale AI applications while maintaining full control over their data.

Today, we focus on three new features that help you deploy ML/AI into production: Perimeters with custom security policies, new UIs, and hosting for Streamlit and other apps

Today's launches focus on scalable ML and AI: Thanks to new decorators, you can finetune foundation models, train ML models, leverage distributed training, and use Slurm without headaches

Today, as part of our release week, we're launching two major features to help you develop ML/AI systems faster: Fast image builds and guided journeys.

Get a look at our vision for the next decade of ML/AI and the major feature launches coming this week.

Catch up with Outerbounds this fall as we travel to five major tech conferences across the U.S., showcasing the latest features in the platform, covering ML, LLMs, and other data use cases, and cool applications that you can build with them.

How to run and optimize OpenAI's Whisper model on a state-of-the-art Kubernetes cluster powered by Metaflow.

Learn how to use Retrieval Augmented Generation to control hallucinations and get more relevant responses from LLMs.

We are happy to announce support for mutable tags in Metaflow! Learn five key patterns for effective human-in-the-loop workflows which leverage the new feature.

You can now access secrets securely in Metaflow flows using the new secrets decorator.

A summary of recent talks from enterprises building machine learning platforms with Metaflow.

Metaflow on Azure provides one of the most user-friendly machine learning experiences on Azure, both for data scientists as well as engineers.

You can now apply to access cloud GPUs directly in NVIDIA's DGX Cloud through Outerbounds - just add @nvidia to access GPUs at scale!

An interview with Yudhiesh Ravindranath, an MLOps Engineer at MoneyLion, detailing the extensions their team has built on top of Metaflow.

We analyzed topics covered by 100k Hacker News posts and the sentiments they evoke using LLMs. See the 14k topics we uncovered.

We show how to use large models like Whisper in a production-grade workflow by applying MLOps practices with Metaflow.

We sat down with Jason Reid, a Co-founder at Tabular, to discuss the Apache Iceberg project and how it fits into the modern data stack.

Make ML/AI systems observable with new Metaflow Dynamic Cards that provide real-time visualizations.

Outerbounds is going global in 2024. This page shows our event calendar for spring 2024.

An overview of instruction tuning for large language models using the LLaMA family of models.