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Four things you need to know about China’s AI talent pool
Summary: A report by MacroPolo shows how China’s AI talent pool has grown, with more researchers staying in China. The US still leads in attracting talent, but China is catching up. The report also highlights the impact of graduate education location on researchers’ work location, and the shift of top-tier AI researchers to work in…
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MLOps and DevOps: Collaborating for Vector Database Excellence in Machine Learning Projects
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Meet Zep: An AI Research Startup Adding Long-Term Memory to Your AI Assistant
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Continual Adapter Tuning (CAT): A Parameter-Efficient Machine Learning Framework that Avoids Catastrophic Forgetting and Enables Knowledge Transfer from Learned ASC Tasks to New ASC Tasks
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PrivateGPT: A Production-Ready AI Project that Allows You to Ask Questions About Your Documents Using the Power of Large Language Models (LLMs) Even without Internet
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AI’s Thirst for Power: Can Nuclear Fusion Quench It?
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Exploration of How Large Language Models Navigate Decision Making with Strategic Prompt Engineering and Summarization
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Revolutionizing Information Retrieval: How the FollowIR Dataset Enhances Models’ Ability to Understand and Follow Complex Instructions
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Enhancing Graph Neural Networks for Heterophilic Graphs: McGill University Researchers Introduce Directional Graph Attention Networks (DGAT)
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SoftPatch: A Memory-Based Unsupervised Anomaly Detection AD Method that Efficiently Denoises the Data at the Patch Level