Anyscale | Scalable Compute for AI and Python
什么是Anyscale | Scalable Compute for AI and Python？
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。
如何使用 Anyscale | Scalable Compute for AI and Python？
开始使用Anyscale端点进行服务和微调开源LLMs！
Anyscale | Scalable Compute for AI and Python 的核心功能
Anyscale端点
Anyscale私有端点
Anyscale平台
Ray开源
Anyscale | Scalable Compute for AI and Python 的使用案例
LLM基础设施
生成式人工智能
计算机视觉
来自 Anyscale | Scalable Compute for AI and Python 的常见问题
为什么我应该选择Anyscale？
Anyscale的核心功能是什么？
Anyscale有哪些常见的使用场景？
我可以使用Anyscale端点微调开源LLMs吗？
Anyscale适合大规模运行大型工作负载吗？
我可以在自己的云环境中部署Anyscale端点吗？
Anyscale | Scalable Compute for AI and Python 支持邮箱 & 客户服务联系 & 退款联系等
更多联系, 访问 the contact us page(https://www.anyscale.com/contact)
Anyscale | Scalable Compute for AI and Python 公司信息
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
Anyscale | Scalable Compute for AI and Python Facebook链接: https://www.facebook.com/AnyscaleCompute
Anyscale | Scalable Compute for AI and Python Linkedin
Anyscale | Scalable Compute for AI and Python Linkedin链接: https://www.linkedin.com/company/joinanyscale
Anyscale | Scalable Compute for AI and Python Twitter
Anyscale | Scalable Compute for AI and Python Twitter链接: https://twitter.com/anyscalecompute
Anyscale | Scalable Compute for AI and Python Github
Anyscale | Scalable Compute for AI and Python Github链接: https://github.com/anyscale
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Anyscale | Scalable Compute for AI and Python 启动嵌入功能
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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
Perplexity AI: How We Built the World's Best LLM-Powered Search Engine in 6 Months, w/ Less Than $4M
Perplexity.ai is the first of its kind LLM-powered answer engine that has established itself as the most accurate and useful research assistant for conversations and questions that require answers to be backed by facts and references. In this presentation, Aravind Srinivas, the founder and CEO, will go through the engineering challenges involved in getting there within the time and resource constraints and the opportunities that lie ahead in rethinking the most important software category of asking questions about anything and everything. 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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