Savin
@SavinGoyal
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Cereal eating entrepreneur. Problem spotter.
San Francisco, CA
Joined July 2015
New paper: đź§ Introducing VAL-Bench: Measuring Value Alignment in Language Models. A benchmark that measures the consistency in language model expression of human values when prompted to justify opposing positions on real-life issues. Work with @amang0112358 and Denny O'Shea!
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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
David J. Berg*, David Casler^, Romain Cledat*, Qian Huang*, Rui Lin*, Nissan Pow*, Nurcan Sonmez*, Shashank Srikanth*, Chaoying Wang*…
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What powers Netflix-level ML/AI workloads? Dive into Outerbounds’ architecture and discover why platform engineers are in love with it:
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HIPAA hooray! Outerbounds is now HIPAA certified! 🎉 Build, scale, and deploy ML/AI solutions in healthcare with full confidence in your data privacy and compliance: https://t.co/ZgDja7D9cO
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🚀 Exciting updates from the @PyTorch Conference in San Francisco, joined by Eddie, Ville, and Omed! Eddie Mattia shares key highlights on our latest features launched this week, including [@]checkpoint for robust training jobs and [@]torchrun for distributed training,
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💫How have GenAI and foundation models changed the practice of ML engineering? Come find out from @chipro in the @OuterboundsHQ July fireside chat! 🔥 https://t.co/bLv9yHFNkC
luma.com
Chip Huyen is a writer and computer scientist currently at Voltron Data, working on GPU-native data processing and open data standards (Ibis, Apache Arrow,…
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📢✨Metaflow, coming to a city near you. Check out our spring calendar and join us in SF, Austin, Boston, London, Paris, Berlin, or Amsterdam! 🤗 https://t.co/toEuUztKTW
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I was asked by @hugobowne to "steel-man" the argument around AI x-risk -- here's my attempt at (briefly and simply) doing that: https://t.co/JqEs469wLg
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OK, let's start getting real about LLMs again. Join me and @jeremyphoward later this week as we discuss the current and future states of generative AI. https://t.co/Fpwg3YZpNH We'll talk about * What on earth we’ve just witnessed at OpenAI, why it’s important (and why it’s
luma.com
Our upcoming fireside chat is with a true luminary, Jeremy Howard, co-founder of fast.ai, an ex-Chief Scientist at Kaggle, and creator of the ULMFiT approach…
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Faced with capacity issues at AWS, the Outerbounds team leveraged CoreWeave A100's to train a Dolly foundational model with Metaflow. Learn more about the history of open-source models and LLM fine-tuning in this article from our friends at Outerbounds: https://t.co/PemrH739J0
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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. ➡️
medium.com
by Samuel Patterson, Niclas Hönig, Atef Attia, Manuel Heller, Zuzanna Czechowska and Chris Lykourinou
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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! 🛰️ https://t.co/mmNKyzfWaY
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As developers continue building LM-driven apps, companies will adapt, not replace, their existing ML and technology stacks. As such, tools that support both LM and classical ML use cases may be ideal. More great ideas from @OuterboundsHQ here:
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You can now develop with @MetaflowOSS, deploy and orchestrate on your existing #airflow server ✨ Make data scientists and ML engineers more productive without burdening engineers with migrations 🤗 https://t.co/VcIKU5Y8ol
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✨Announcing the Outerbounds Platform ✨ A fully managed, full-stack infrastructure for data-intensive apps, ML/AI in particular, deployed securely in your cloud account, optimized to run apps built with human-friendly, open-source Metaflow. https://t.co/nt1RFzq7y1
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Join our first live coding session w/ @jacopotagliabue and @hugobowne to learn how to build a production-grade RecSys. The goal is to develop a relatively simple, effective, and general pipeline for sequential recommendations. What will you learn? 👇 1/ https://t.co/OzHGX73W17
eventbrite.com
A Live Code Along Session
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Our fireside chat with Russell Brooks & @hugobowne is about to start in 15 min! Join us to hear about how to take your org from a bus factor of 1 to reproducible and automated ML-powered software!
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