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Source channel @githubtrending · Post #15239 · Oct 21

#python#artificial_intelligence#cloud_ml#computer_systems#courseware#deep_learning#edge_machine_learning#embedded_ml#machine_learning#machine_learning_systems#mobile_ml#textbook#tinyml You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering. https://github.com/harvard-edge/cs249r_book

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Crypto M - Crypto News

@CryptoM · Post #65388 · 04/13/2026, 04:14 AM

🚀 AINFT Platform Surpasses 700,000 Users, Advances in Web3 AI The AINFT platform has officially exceeded 700,000 users, according to official data. According to Odaily, the growing user base and the continuous enhancement of AI model capabilities are propelling it to become a leading AI platform in the Web3 sector. AINFT currently offers users AI models ready for production and fully supports the execution of on-chain automated workflows, facilitating a rapid transition from creative ideas to on-chain implementation. Leveraging its expanding community and open technical architecture, AINFT aims to lower the barriers to using Web3 AI, enabling more efficient deployment of innovative applications. #AINFT#700000Users#Web3#AIPlatform#AI#Blockchain#OnChain#AutomatedWorkflows#Web3AI#Innovation#Technology#Community