Anyscale是一个统一的计算平台,可以使用Ray轻松开发、部署和管理可扩展的人工智能和Python应用程序。
开始使用Anyscale端点进行服务和微调开源LLMs!
更多联系, 访问 the contact us page(https://www.anyscale.com/contact)
Anyscale | Scalable Compute for AI and Python 公司名字: Anyscale, Inc .
更多关于Anyscale | Scalable Compute for AI and Python, 请访问 the about us page(https://www.anyscale.com/about).
Anyscale | Scalable Compute for AI and Python Facebook链接: https://www.facebook.com/AnyscaleCompute
Anyscale | Scalable Compute for AI and Python Linkedin链接: https://www.linkedin.com/company/joinanyscale
Anyscale | Scalable Compute for AI and Python Twitter链接: https://twitter.com/anyscalecompute
Anyscale | Scalable Compute for AI and Python Github链接: https://github.com/anyscale
由 Emmett 发布于 2024年7月5日
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社交媒体聆听
Marc Andreessen on AI, Geopolitics, and the Regulatory Landscape | Ray Summit 2024
Marc Andresseen is the co-founder of Andressen Horowitz. In this interview, Marc dives deep into how AI will reinvent almost every product category we understand today and has the potential to reshape geopolitics, biology, and defense. Throughout the chat, Andreessen and Nishihara explore the technical challenges ahead, including the policy landscape, fights to outlaw open source AI, and lessons from Europe's history of technology innovation and regulation. -- Liked this video? Watch the full Day 1 Keynote: https://www.youtube.com/watch?v=jwZHJthQvXo or check out the Ray Summit breakout session recordings! -- 🔗 Connect with us: - Subscribe to our YouTube channel: https://www.youtube.com/@anyscale - Twitter: https://x.com/anyscalecompute - LinkedIn: https://linkedin.com/company/joinanyscale/ - Website: https://www.anyscale.com
Fast LLM Serving with vLLM and PagedAttention
LLMs promise to fundamentally change how we use AI across all industries. However, actually serving these models is challenging and can be surprisingly slow even on expensive hardware. To address this problem, we are developing vLLM, an open-source library for fast LLM inference and serving. vLLM utilizes PagedAttention, our new attention algorithm that effectively manages attention keys and values. vLLM equipped with PagedAttention achieves up to 24x higher throughput than HuggingFace Transformers, without requiring any model architecture changes. vLLM has been developed at UC Berkeley and deployed for Chatbot Arena and Vicuna Demo for the past three months. In this talk, we will discuss the motivation, features, and implementation of vLLM in depth, and present our future plan. About Anyscale --- Anyscale is the AI Application Platform for developing, running, and scaling AI. https://www.anyscale.com/ If you're interested in a managed Ray service, check out: https://www.anyscale.com/signup/ About Ray --- Ray is the most popular open source framework for scaling and productionizing AI workloads. From Generative AI and LLMs to computer vision, Ray powers the world’s most ambitious AI workloads. https://docs.ray.io/en/latest/ #llm #machinelearning #ray #deeplearning #distributedsystems #python #genai
Fast LLM Serving with vLLM and PagedAttention
LLMs promise to fundamentally change how we use AI across all industries. However, actually serving these models is challenging and can be surprisingly slow even on expensive hardware. To address this problem, we are developing vLLM, an open-source library for fast LLM inference and serving. vLLM utilizes PagedAttention, our new attention algorithm that effectively manages attention keys and values. vLLM equipped with PagedAttention achieves up to 24x higher throughput than HuggingFace Transformers, without requiring any model architecture changes. vLLM has been developed at UC Berkeley and deployed for Chatbot Arena and Vicuna Demo for the past three months. In this talk, we will discuss the motivation, features, and implementation of vLLM in depth, and present our future plan. About Anyscale --- Anyscale is the AI Application Platform for developing, running, and scaling AI. https://www.anyscale.com/ If you're interested in a managed Ray service, check out: https://www.anyscale.com/signup/ About Ray --- Ray is the most popular open source framework for scaling and productionizing AI workloads. From Generative AI and LLMs to computer vision, Ray powers the world’s most ambitious AI workloads. https://docs.ray.io/en/latest/ #llm #machinelearning #ray #deeplearning #distributedsystems #python #genai
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