Ray Summit
216 posts

Ray Summit
@Ray_Summit_Live
Join us the #Ray community in SF for keynotes, #Ray deep dives, #llm sessions and lightning talks exploring the future of machine learning and scalable #AI.
San Francisco Katılım Nisan 2022
3 Takip Edilen952 Takipçiler

#RaySummit2024 is live! 🚀
Follow @raydistributed and @anyscalecompute for real-time updates on exciting keynotes, expert-led sessions, and live demos!
ray@raydistributed
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📣 Ray Summit 2024 registration is now open!
Take advantage of early bird pricing right now to join the largest gathering of the Ray community each year. Learn more and register here: bit.ly/3UQ6Nhm
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📣 The #RaySummit 2024 Call for Papers extended to Thursday, May 16th. 📣
This is the best spotlight to share your story with the Ray community!
Submit your proposal here: hubs.ly/Q02wscNk0

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📣Calling all @raydistributed users: Share your story with the Ray Community at #RaySummit 2024!
Call for proposals is open through Thursday, May 9th! Submit here: hubs.ly/Q02vL9w00.
#ray #raysummit #AI #LLM

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🎙️ Captivate the crowd at #RaySummit 2024. Follow these key steps:
📣 Craft a catchy, concise title
🚫 Avoid giving a sales pitch
🎯 Focus on your unique story
🔍 Get peer feedback
💲Show attendees value - what will they learn?
Submit your talk now! hubs.ly/Q02sJZXP0

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⏰Ready to submit to the #RaySummit Call for Proposals? Choose from two types of talks–Technical Lightning Talks ⚡(10 minutes) or Breakout Sessions ⚙️(30 minutes).
Submit your proposal here 👉hubs.ly/Q02sCzrq0
#ray #llm #genai

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📣 Calling all @raydistributed users: We want to hear your story at #RaySummit 2024!
We’re now accepting proposals for lightning talks and technical breakout sessions! The deadline to submit is April 30!
Learn more and submit your proposal here: hubs.ly/Q02rwTFJ0
#ray

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Ray Summit retweetledi

@CyrusHakha and @ArturNiederfah1 dive into their findings in this @Ray_Summit_Live session & explore fine-tuning open source #LLM models & how #Ray + @anyscalecompute suite of libraries enable efficient fine-tuning processes
🔗 hubs.ly/Q025-NFM0
📼 hubs.ly/Q025-yV20

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Ray Summit retweetledi

On to week 2 of @Ray_Summit_Live top sessions!
Starting with @pablete and Lingyi Liu showing how @netflix uses #Ray for building heterogeneous training clusters powering #ML algorithms at the heart of top use cases
🔗blog: hubs.ly/Q026rHvr0
📼 now: hubs.ly/Q026rHTD0

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Ray Summit retweetledi

Check out @GokuMohandas & Philipp Moritz sharing how @anyscaledistribiuted built a #RAG based #LLM application and the insights the team learned along the way. #LLM #GenAi
@Ray_Summit_Live
View the recording: hubs.ly/Q025HX5B0
Read more here: hubs.ly/Q025HWVw0

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Ray Summit retweetledi

Kicking off @Ray_Summit_Live highlights with @joespeez as he shares insights on #llama #genAI and the importance of community in the world of #AI.
Read the recap here: hubs.ly/Q025HMfd0
Watch the video: hubs.ly/Q025HYM60
#llm #llms #genai #ml @anyscalecompute
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Great news from our friends and partners at @arizeai - integration available TODAY with Anyscale Endpoints. 🙏👏 .
Try it out following the Arize blog! ->
Arize AI Debuts Integration with Anyscale Endpoints arize.com/blog/anyscale-… #AI #ML #raysummit
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Niantic Labs (company behind Pokemon Go!) sharing the impact of @raydistributed on their AI-powered mapping workloads. Less latency, cycle time down 20-50%, benchmark running in 1 day instead of 5 for 30% less cost. Amazing! #raysummit #AI #ML

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Team from @Google talking about the new Cloud TPU v5e and what it does for scale and efficiency for AI workloads. incredible engineering. Integrated to Ray. available NOW with Ray 2.7. #AI #ML #RaySummit #LLMs

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.@Intel sharing new benchmarks showing great performance for new accelerators, including some benchmarks from our friends @huggingface . Adding optimizations for new Intel accelerators, shipping in Q4 with native Gaudi- @raydistributed integration. #raysummit #AI #ML

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Neuron software team from @awscloud talking hardware accelerators and integration with @raydistributed at #raysummit. #AI #ML #LLMs
Helping with performance, reliability, cost savings for AI workloads. ✅

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"One LLM to Rule Them All?" Not at Uber. Considerations for general vs. specialized LLMs at @uber. Privacy, accuracy, latency, etc. #AI #ML #raysummit

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So cool! 😎 Uber's code assistant, integrating training from external and internal code, internal code making the biggest difference (no surprise). #AI #ML #LLMs #raysummit

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