Tag: natural language queries

  • Cloud Blog: AI and BI converge: A deep dive into Gemini in Looker

    Source URL: https://cloud.google.com/blog/products/data-analytics/gemini-in-looker-deep-dive/ Source: Cloud Blog Title: AI and BI converge: A deep dive into Gemini in Looker Feedly Summary: Driven by generative AI innovations, the Business Intelligence (BI) landscape is undergoing significant transformation, as businesses look to bring data insights to their organization in new and intuitive ways, lowering traditional barriers that have often…

  • Cloud Blog: Looker adds AI-fueled visual, conversational data exploration, continuous integration

    Source URL: https://cloud.google.com/blog/products/data-analytics/looker-bi-platform-gets-ai-powered-data-exploration/ Source: Cloud Blog Title: Looker adds AI-fueled visual, conversational data exploration, continuous integration Feedly Summary: Today at Google Cloud Next ‘25, we’re announcing a major step in making Looker the most powerful platform for data analysis and exploration,by enhancing it with powerful AI capabilities and a new reporting experience, all built on…

  • Hacker News: Show HN: In-Browser Graph RAG with Kuzu-WASM and WebLLM

    Source URL: https://blog.kuzudb.com/post/kuzu-wasm-rag/ Source: Hacker News Title: Show HN: In-Browser Graph RAG with Kuzu-WASM and WebLLM Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of Kuzu’s WebAssembly (Wasm) version, showcasing its use in building an advanced in-browser chatbot leveraging graph retrieval techniques. Noteworthy is the emphasis on privacy and…

  • Hacker News: SOTA Code Retrieval with Efficient Code Embedding Models

    Source URL: https://www.qodo.ai/blog/qodo-embed-1-code-embedding-code-retreival/ Source: Hacker News Title: SOTA Code Retrieval with Efficient Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Qodo-Embed-1, a new family of code embedding models that outperforms larger models in code retrieval tasks while maintaining a smaller footprint. It emphasizes the challenges existing models face…

  • Microsoft Security Blog: Microsoft at Legalweek: Help safeguard your AI future with Microsoft Purview​

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/02/20/microsoft-at-legalweek-help-safeguard-your-ai-future-with-microsoft-purview/ Source: Microsoft Security Blog Title: Microsoft at Legalweek: Help safeguard your AI future with Microsoft Purview​ Feedly Summary: ​Connect with Microsoft at Legalweek 2025 to learn how to embrace AI while protecting your organization’s data with Microsoft Purview. ​ The post Microsoft at Legalweek: Help safeguard your AI future with Microsoft Purview​…

  • Hacker News: Evaluating Code Embedding Models

    Source URL: https://blog.voyageai.com/2024/12/04/code-retrieval-eval/ Source: Hacker News Title: Evaluating Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and limitations within the field of code retrieval, particularly as it pertains to embedding models used in coding assistants. It highlights the need for high-quality benchmarking datasets, identifies typical subtasks…

  • Hacker News: Program Synthesis and Large Language Models

    Source URL: https://cacm.acm.org/opinion/on-program-synthesis-and-large-language-models/ Source: Hacker News Title: Program Synthesis and Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a critical perspective on the idea that advancements in AI, particularly large language models (LLMs), may lead to the obsolescence of programming. It challenges the notion that programming can be…

  • Hacker News: Machine Learning at Ente – On-Device, E2EE

    Source URL: https://ente.io/ml/ Source: Hacker News Title: Machine Learning at Ente – On-Device, E2EE Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Ente’s innovative approach to machine learning by leveraging on-device ML to ensure maximum privacy and security for users. This approach, necessitated by end-to-end encryption, contrasts with the industry standard…