Experimental News Clipping Site

Tag: search efficiency

  • Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…

  • Slashdot: AI-generated Medical Data Can Sidestep Usual Ethics Review, Universities Say

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/09/12/1531258/ai-generated-medical-data-can-sidestep-usual-ethics-review-universities-say?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI-generated Medical Data Can Sidestep Usual Ethics Review, Universities Say Feedly Summary: AI Summary and Description: Yes Summary: This text discusses the use of synthetic data generated by AI in medical research without requiring ethics board approval, highlighting the implications for patient privacy and research efficiency. This practice raises…

  • Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…

  • Hacker News: Sharding Pgvector

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    by

    Kurt Seifried
    in

    Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…