Anyscale’s Post

It was great to see everyone at the Ray in Financial Services Meetup in New York 🏙 A big thank you to all the community members who made it possible. 👏 We discussed Ray and it's use cases, got a hands on look at running parallel experiments with cpus and gpus, and shared more on the upcoming roadmap. Looking forward to our next meetup - training day in New York this July 31st! Register here:https://lnkd.in/ePbX2KYs

Mira Murati, CTO of OpenAI, will be a keynote speaker for Ray Summit 2024! 🎉 Known for her work on ChatGPT, DALL-E, and GPT-4, Mira advocates for ethical AI aligned with human values. Join us and learn from her groundbreaking work and vision for the future of AI 🚀 Register here: https://t.co/VTdE4cbXB9

We’ve recently contributed FP8 support to vLLM in collaboration with Neural Magic -- with this feature, you can see up to a 1.8x reduction in inter-token latency, with >99% accuracy preservation! A common concern with FP8 is whether users will experience accuracy degradation. To address this, Neural Magic has produced many checkpoints for key models with >99% accuracy preservation across a wide range of benchmarks (https://lnkd.in/gTimN5dZ), including: - Llama3-70b - Mixtral 8x7b - Llama3-8b You can easily try this out on vLLM, and read more about the feature here -- https://lnkd.in/gzKJqerB

🌟 It's not too late! 🌟 Join us tonight, July 9th, from 5:30 - 8:30pm in NYC for the Ray in Financial Services Meetup. Don’t miss out on discovering how Ray powers AI in finance and networking with industry peers Sign up here: https://lu.ma/vrlylh28 We hope to see you there!

🚨Last chance!🚨 Tomorrow, July 9th, 5:30 - 8:30pm in NYC, join the Ray in Financial Services Meetup. Discover how Ray powers AI in finance, explore AI-driven use cases, get insights into the Ray 3.0 roadmap, and network with industry peers🤝 Minimal spots left, sign up here: https://lu.ma/vrlylh28

Harrison Chase will be speaking at this year's #RaySummit! 🙌 Learn more about building LLM applications including agentic applications from the cofounder of LangChain, the open-source framework and toolkit helping developers innovate. 🚀 Register Today:  https://lnkd.in/gmpMH_Wi

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.