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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

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One notable recent release is Yambda-5B , a 5-billion-event dataset contributed by Yandex, based on data from its music streaming service, now available via Hugging Face. In recent years, several new datasets have been made public that aim to better reflect real-world usage patterns, spanning music, e-commerce, advertising, and beyond.

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Run the Full DeepSeek-R1-0528 Model Locally

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NotebookLM + Deep Research: The Ultimate Learning Hack

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By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

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Automating GitHub Workflows with Claude 4

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The 7 Most Useful Jupyter Notebook Extensions for Data Scientists

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Why You Need RAG to Stay Relevant as a Data Scientist

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On top of that, this agent should use the content by including relevant hotel information in this proposal for business events or campaigns. Marketing Agent Let’s say a mid-size company from Europe wants you to create an agent, an agent that generates marketing proposals for their clients by using company documents. Why does this happen?

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Integrating DuckDB & Python: An Analytics Guide

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