Tag: Retrieval-Augmented Generation

  • Simon Willison’s Weblog: AI for data engineers with Simon Willison

    Source URL: https://simonwillison.net/2025/Aug/11/ai-for-data-engineers/#atom-everything Source: Simon Willison’s Weblog Title: AI for data engineers with Simon Willison Feedly Summary: AI for data engineers with Simon Willison I recorded an episode last week with Claire Giordano for the Talking Postgres podcast. The topic was “AI for data engineers" but we ended up covering an enjoyable range of different…

  • Simon Willison’s Weblog: Qwen3-4B-Thinking: "This is art – pelicans don’t ride bikes!"

    Source URL: https://simonwillison.net/2025/Aug/10/qwen3-4b/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-4B-Thinking: "This is art – pelicans don’t ride bikes!" Feedly Summary: I’ve fallen a few days behind keeping up with Qwen. They released two new 4B models last week: Qwen3-4B-Instruct-2507 and its thinking equivalent Qwen3-4B-Thinking-2507. These are relatively tiny models that punch way above their weight. I’ve…

  • Cloud Blog: Redefining enterprise data with agents and AI-native foundations

    Source URL: https://cloud.google.com/blog/products/data-analytics/new-agents-and-ai-foundations-for-data-teams/ Source: Cloud Blog Title: Redefining enterprise data with agents and AI-native foundations Feedly Summary: The world is not just changing; it’s being re-engineered in real-time by data and AI. The way we interact with data is undergoing a fundamental transformation, moving beyond human-led analysis to a collaborative partnership with intelligent agents. This…

  • Shabie’s blog: Let the kaleidoscope turn

    Source URL: https://shabie.github.io/2025/07/31/let-the-kaleidoscope-turn.html Source: Shabie’s blog Title: Let the kaleidoscope turn Feedly Summary: “Any good classifier knows that in the process of classification, information about variety is lost while information about similarities is gained.” – Joseph Tainter AI Summary and Description: Yes Summary: The text discusses the limitations of traditional retrieval-augmented generation (RAG) systems in…

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • Cloud Blog: How Renault Group is using Google’s software-defined vehicle industry solution

    Source URL: https://cloud.google.com/blog/products/application-development/renault-groups-software-defined-vehicles-built-on-google-cloud/ Source: Cloud Blog Title: How Renault Group is using Google’s software-defined vehicle industry solution Feedly Summary: It’s funny to think of Renault Group, the massive European car manufacturer, as a software company, but in many ways, it is. Renault Group subsidiary Ampere Software Technology is dedicated to developing and integrating advanced software…

  • AWS News Blog: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview)

    Source URL: https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/ Source: AWS News Blog Title: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview) Feedly Summary: Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches…

  • Docker: Build a GenAI App With Java Using Spring AI and Docker Model Runner

    Source URL: https://www.docker.com/blog/build-genai-app-with-java-spring-ai-docker-model-runner/ Source: Docker Title: Build a GenAI App With Java Using Spring AI and Docker Model Runner Feedly Summary: When thinking about starting a Generative AI (GenAI) project, you might assume that Python is required to get started in this new space. However, if you’re already a Java developer, there’s no need to…

  • Docker: How to Build, Run, and Package AI Models Locally with Docker Model Runner

    Source URL: https://www.docker.com/blog/how-to-build-run-and-package-ai-models-locally-with-docker-model-runner/ Source: Docker Title: How to Build, Run, and Package AI Models Locally with Docker Model Runner Feedly Summary: Introduction As a Senior DevOps Engineer and Docker Captain, I’ve helped build AI systems for everything from retail personalization to medical imaging. One truth stands out: AI capabilities are core to modern infrastructure. This…