Our (boring) prediction: #LLMs and #AI will become tools amongst other tools in the companies' tech stack (albeit super powerful ones 🦸). Metaflow helps manage the whole ML stack, LLMs included. Read more here: outerbounds.com/blog/llm-infra…

A major release, Metaflow 2.9, is out today 🎉 New: Build large, advanced ML systems by connecting flows and make them react to events in real-time! 🛰️ outerbounds.com/blog/metaflow-…

Unsere #MachineLearning (ML)-Ingenieur:innen und Datenwissenschaftler:innen haben kürzlich ein neues ML-Modell entwickelt. Welche Rolle hierbei #Metaflow spielt und vor welchen Herausforderungen sie standen, erzählen sie in unserem Tech-Blog. ➡️ pro7.de/35a

Kicking off machine learning @ the exploratorium tonight is Ville Tuulos, Outerbounds CEO! Talking modeling, deployment, versioning, orchestration, compute, data, oh my!

What a panel! On the past, present, and future of genAI w/ - Nikhila Ravi of meta - Goku Mohandas of Anyscale - Sarah Catanzaro of Amplify Partners - academic cal bear eecs phd Shreya Shankar 🤌

🚀 Epic #MLMixer at Exploratorium! 🌌 Insightful talks by Ville Tuulos, Shreya Shankar 🎓, Goku Mohandas of Anyscale, Nikhila Ravi of Meta, & Sarah Catanzaro of Amplify Partners! Fun & deep dives into genAI & LLMs! Thanks Outerbounds & AGI House for hosting! 🌟 #AI 🤖

Join us at #KubeCon for a healthy dose of AI Infrastructure on Kubernetes 🏗️

Netflix uses data science and machine learning across all facets of the company and our Machine Learning Platform powers a wide array of applications ranging from all the way from infrastructure to content creation netflixtechblog.com/supporting-div…

I reimplemented the entire curriculum of my Machine Learning program. I'm now using Outerbounds and Metaflow as the backbone of every pipeline in the program. It's a combination of open-source tools with technology that supports developing scalable, real-world systems.

Distributed training just got easier on Outerbounds! Now generally available, it supports multi-GPU setups with [@]torchrun and [@]metaflow_ray. Perfect for large data and models. Train efficiently, even at scale! 💡 #AI #DistributedTraining

anushk big time if it good for Netflix, is good for the rest of the world, for sure.

AI meetup on Dec 10 at GitHub SF! Outerbounds' Eddie Mattia will cover cost-efficient fine-tuning of LLMs (1B–405B params) using Metaflow, showing how it integrates with workflows and cloud tools. RSVP: hubs.la/Q02-42Cl0

If you're in the Bay Area, join us tomorrow evening at GitHub's SF office! Our Eddie Mattia will be discussing fine-tuning of LLMs using Metaflow, covering models ranging from 1 billion to 405 billion parameters 💪 RSVP @ hubs.la/Q02-YQCW0

Learn how we conduct config-driven experiments and deployments at scale, and how you can do the same at home with a new Config feature in Metaflow! netflixtechblog.com/introducing-co…

Rick Blalock I love Metaflow docs. Very well organized, clear, easy to navigate.

Nebius and Outerbounds form strategic partnership to deliver a full-stack solution for business-critical AI systems 🔀 Read the blog to find out more and start using the integration: nebius.com/blog/posts/neb… That’s right: Nebius AI Cloud, the ultimate cloud for AI innovators,

Metaflow simplifies orchestration, optimizes compute and integrates with Airflow to streamline workflows. Savin from Outerbounds shares insights on scaling infrastructure and lessons from his time at Netflix. Link in the comments. #AI #MachineLearning #Airflow

Ever wondered how much CPU, memory, GPU, disk, or network traffic your Metaflow steps use and how to optimize resource allocation? The open-source resource-tracker Python package does that (and more) with seamless #metaflow integration! Read more at sparecores.com/article/metafl… 🚀

You can still register for Nebius × Outerbounds webinar on building custom LLMs: nebius.com/events/webinar…. Join us tomorrow at 10 AM PDT. We’ll cover a modern stack for developing domain-specific models using the latest post-training tricks, including custom reward functions.

Dare I say that Metaflow is making me like Kubernetes at least a little bit again.