New paper: 🧭 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! (1/7)
What powers Netflix-level ML/AI workloads? Dive into Outerbounds’ architecture and discover why platform engineers are in love with it: https://t.co/gChbeNJgBa
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
🚀 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, addressing the critical need for fault tolerance as model sizes scale.
GPUs will fail, but our new checkpoint functionality—available in open-source Metaflow and enhanced on the Outerbounds platform—helps ensure deep learning jobs can resume seamlessly after interruptions.
We’ve received great feedback from the community, and we're excited to see what people will build with these tools!
Read more from our Wednesday announcement blog:
https://t.co/dAtjXC4g1i
This week will be huge 🚀 We are releasing a bunch of cool new features, and our CEO shares a bigger picture of Outerbounds’ long-term vision for ML/AI. Our world is changing for the better (some parts faster, some slower) and we are excited to work towards that future, one launch at a time 😊
https://t.co/uvFQUBWEla
💫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
@s_tat1204 That’s true! Even requests is only a soft dependency to power the UI. You can run metaflow locally without installing any of its dependencies!
📢✨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
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
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/7Y8X9aigY3
We'll talk about
* What on earth we’ve just witnessed at OpenAI, why it’s important (and why it’s not!),
* Cost-benefit analyses of using closed models (such as Chat-GPT and Claude) and OSS models (such as Llama 2 and Mistral),
* Key concerns around regulatory capture and the future of OSS LLMs,
* What LLM tools and techniques you need to know to future-proof yourself in this rapidly changing landscape,
* How AI education will need to change to make LLMs actually uncool so that many people can actually use them!
And much more!
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
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. ➡️ https://t.co/9X7iwyuWBL
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
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: https://t.co/jji6hcei3t