Explore advanced RAG systems and agentic workflows in AI, learn about new models like KANs and MOMENT for time-series tasks, and discover clustering algorithms for trillion-edge graphs. Dive into automated multi-agent chat examples, powerful ASR tools, and geometric deep learning concepts. Review research papers on agent-based systems and graph LMs, and understand how to monitor ML stacks in production. Access datasets such as MS Marco Search with 10 billion web pages and the WildChat dataset for real-world user interactions with ChatGPT. Share Data Machina with friends and provide feedback to Carlos at [email protected].
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