27 posts tagged with "machine learning"

A hands-on guided tour to LLMs, prompt engineering, retrieval-augmented generation, and building ML systems in the Metaflow Sandbox.

Learn how you can get started with full-stack ML today in a hands-on, project-driven course using production-grade ML systems.

Sharing results of your ML experiments with colleagues has never been easier with the Metaflow card viewer. Use it from your sandbox today!

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

Metaflow Sandboxes are now loaded with many new interactive ML tutorials: learn about cutting-edge AI and ML, right in your browser.

Outerbounds Platform is now generally available! Get started with a managed platform for data and ML workloads that operates seamlessly with open-source Metaflow.

Join Jacopo Tagliabue and Hugo Bowne-Anderson in a live code along session to dive into how to build a production-grade recommender system.

Yudhiesh Ravindranath, an MLOps Engineer at MoneyLion, discusses how his team builds and maintains an MLOps stack at a FinTech company.

Ethan Rosenthal joins Hugo to discuss how you can build your career and the layers of a full machine learning stack in your organization.

Russell Brooks joins Hugo to discuss how you can build a valuable machine learning team and tech stack in your organization.

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

A collection of responses from an AMA event where Chip Huyen and Ville Tuulos addressed questions about machine learning infrastructure.

How can you leverage modern tools to apply a state-of-the-art machine learning infrastructure stack in practice?

Use new Metaflow Sandboxes to evaluate Metaflow and the full infrastructure stack behind it in the browser without having to install anything locally

How to run massively parallel Stable Diffusion for production use cases, producing new images automatically in a highly-available manner.

A book launch event including a discussion with authors Chip Huyen and Ville Tuulos about machine learning education and practice.

By reading a new book, Effective Data Science Infrastructure, you will learn how to set up infrastructure for ML and data science applications, similar to the stack that powers Netflix and hundreds of other modern companies.

Discover the power of DAGs to level up your data science projects with examples from feature transforms to workflow orchestration.

A discussion about the machine learning deployment stack and why data makes software different.

Hugo Bowne-Anderson discussed his journey to becoming Head of Developer Relations at Outerbounds.

With Metaflow, data scientists can leverage K8s clusters for their work. Metaflow presents a user-friendly UX to data scientists, while working nicely with production infrastructure.

Learn how to use notebooks in production ML pipelines with a new Metaflow feature. This is model framework-agnostic and so will work with all types of ML models.

Developed internally at Netflix and open-sourced in 2019, Metaflow is now used to power machine learning in production by hundreds of companies.

Introducing DAG cards for machine learning pipelines. These cards make it easy to attach custom visual reports in every workflow, without having to install any additional tooling.

A discussion about the machine learning deployment stack and why data makes software different.

Build a simple production-ready MLOps pipeline using Metaflow, an OSS framework allowing data scientists to build production-ready machine learning workflows using a simple Python API, and Seldon.