Experimental News Clipping Site

Tag: Report Generation

  • Cloud Blog: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/tchibo-brews-up-10x-faster-customer-insights-with-alloydb-for-postgresql/ Source: Cloud Blog Title: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL Feedly Summary: Tchibo, a well-known coffee retailer and lifestyle brand based in Germany, needed a faster, smarter way to manage and interpret vast amounts of customer feedback across its diverse product offerings and sales channels. To meet…

  • Simon Willison’s Weblog: Quoting Ben Hylak

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/12/ben-hylak/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ben Hylak Feedly Summary: I was using o1 like a chat model — but o1 is not a chat model. If o1 is not a chat model — what is it? I think of it like a “report generator.” If you give it enough context, and…

  • Microsoft Security Blog: Agile Business, agile security: How AI and Zero Trust work together

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    system automation
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    Source URL: https://www.microsoft.com/en-us/security/blog/2024/12/16/agile-business-agile-security-how-ai-and-zero-trust-work-together/ Source: Microsoft Security Blog Title: Agile Business, agile security: How AI and Zero Trust work together Feedly Summary: We recently published a new whitepaper that examines the security challenges and opportunities from generative AI. The post Agile Business, agile security: How AI and Zero Trust work together appeared first on Microsoft Security…

  • Cloud Blog: Build agentic RAG on Google Cloud databases with LlamaIndex

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    system automation
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    Source URL: https://cloud.google.com/blog/products/databases/llamaindex-integrates-with-alloydb-and-cloud-sql-for-postgresql/ Source: Cloud Blog Title: Build agentic RAG on Google Cloud databases with LlamaIndex Feedly Summary: AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases.…