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Orchestrate Ray-based machine learning workflows using Amazon SageMaker

Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. Although this enables parallelization of tasks across multiple nodes, leading to accelerated training times, enhanced scalability, and improved …

Ray Shines With NVIDIA AI: Anyscale Collaboration to Help Developers Build, Tune, Train and Scale Production LLMs

Large language model development is about to reach supersonic speed thanks to a collaboration between NVIDIA and Anyscale. At its annual Ray Summit developers conference, Anyscale — the company behind the fast growing open-source unified compute framework for scalable computing —  announced today that it is bringing NVIDIA AI to Ray open source and the …

AI system found to outperform humans in creating urban planning designs

A team of urban planners and information scientists at Tsinghua University in China has found that an AI-based urban planning system was able to outperform human experts in creating urban planning designs. In their study, reported in the journal Nature Computational Science, the group describes the factors that were used in describing the ideal urban …

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Help Shape Our Conference Agenda & Win Prizes

Hew there! As we gear up for the much-anticipated Chatbot Conference this November, we find ourselves constantly driven by one central purpose: to serve the vibrant community of professionals, enthusiasts, and enterprises navigating the rich landscape of Conversational AI and LLMs. This year, we’re taking a collaborative approach to curating our conference agenda, and who better …