Anyscale

Join us next Tuesday, July 9th, 5:30 - 8:30pm for the Ray in Financial Services Meetup in NYC! Hear from the Anyscale team and experts about how Ray powers AI in financial services. Dive deep into Ray, learn about AI-driven data extraction, high-powered trading use cases, and get insights into the Ray 3.0 roadmap. Network with industry peers and enjoy great discussions over free food and drinks. Space is limited, so sign up today! Details and registration: https://lu.ma/vrlylh28

Introducing RouteLLM: a sophisticated routing framework developed with Berkeley-LMSys in collaboration with Anyscale. RouteLLM optimizes query handling by dynamically selecting between high-performance proprietary LLMs and cost-effective open-source models, cutting costs by over 2x without sacrificing quality. Using human preference data and LLM-as-a-judge for data augmentation, our routers evaluate query complexity to choose the appropriate model. Rigorous testing on benchmarks like MMLU and GSM8K confirms our cost-efficient, high-quality performance. Explore our open-source code, models, and preference data on GitHub: https://lnkd.in/gJyijZRx, and try our online demo: https://lnkd.in/gME-GC2a Explore More about RouteLLM and learn how it can revolutionize your LLM applications: Read our Blog here: https://lnkd.in/gfPD-u-y LLMsys Blog here: https://lnkd.in/ga_MgERE Full research paper here: https://lnkd.in/gqRy7Pjy

Speaking of which, check out Ray 2.31.0 😇 A big recent focus has been on 🎇 Ray core reliability / stability at scale. We've literally burned through 350+ core usability / reliability issues in the past months. Incredibly hard but important work. 🔎 Observability tooling: not one silver bullet, just constantly chipping away across the board to make it better and better.

We recently moved to weekly Ray releases to ship features to our community faster. 🚀 Doing so required us to fix flaky tests and completely revamp our release process. 👊 Read more here: https://lnkd.in/gUejngmD

We recently moved to weekly Ray releases to ship features to our community faster. 🚀 Doing so required us to fix flaky tests and completely revamp our release process. 👊 Read more here: https://lnkd.in/gUejngmD

Join us this Wednesday June 26th for our Fast and Scalable Training webinar series focused on Model Training with PyTorch and Ray. You’ll learn how to migrate your code from pure PyTorch to Ray Train and Ray Data, enabling scalable and efficient AI workflows Register Here: https://lnkd.in/gmGqUjWw

Gen-3 Alpha is mind blowing. Absolutely cannot wait to hear from Anastasis Germanidis about the process of building this model and the hard-earned lessons at Ray Summit 2024. https://lnkd.in/gMVdCgiK

Join us this Thursday, June 20th, for a webinar on End-to-End LLM Workflows and learn how Anyscale can empower your AI app development journey—from creation to scaling. Register now at: https://lnkd.in/gHxden-S

Join us at the Ray Summit 2024 in San Francisco, the premier event for open source AI infrastructure leaders worldwide! There's still a chance to get early bird ticket prices until June 27th! Secure yours now at https://t.co/JpJ7LskBFU.

5000+ training jobs / month. 300+ batch inference jobs / week. This has been a multi-year journey starting in Q1 2023. Lots of deep lessons here.