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Tag: Arize

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

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    Kurt Seifried
    in

    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…

  • Slashdot: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/07/04/1521245/simple-text-additions-can-fool-advanced-ai-reasoning-models-researchers-find Source: Slashdot Title: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: The research highlights a significant vulnerability in state-of-the-art reasoning AI models through the “CatAttack” technique, which attaches irrelevant phrases to math problems, leading to higher error rates and inefficient responses.…

  • Cloud Blog: How to build a simple multi-agentic system using Google’s ADK

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-multi-agentic-systems-using-google-adk/ Source: Cloud Blog Title: How to build a simple multi-agentic system using Google’s ADK Feedly Summary: Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together. Monolithic agents often…

  • Simon Willison’s Weblog: Quoting Kevin Webb

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/1/kevin-webb/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Kevin Webb Feedly Summary: One of the best examples of LLM developer tooling I’ve heard is from a team that supports software from the 80s-90s. Their only source of documentation is video interviews with retired employees. So they feed them into transcription software and get summarized…

  • The Cloudflare Blog: The crawl before the fall… of referrals: understanding AI’s impact on content providers

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/ai-search-crawl-refer-ratio-on-radar/ Source: The Cloudflare Blog Title: The crawl before the fall… of referrals: understanding AI’s impact on content providers Feedly Summary: Cloudflare Radar now shows how often a given AI model sends traffic to a site relative to how often it crawls that site. This helps site owners make decisions about which AI…

  • Simon Willison’s Weblog: microsoft/vscode-copilot-chat

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/30/vscode-copilot-chat/#atom-everything Source: Simon Willison’s Weblog Title: microsoft/vscode-copilot-chat Feedly Summary: microsoft/vscode-copilot-chat As promised at Build 2025 in May, Microsoft have released the GitHub Copilot Chat client for VS Code under an open source (MIT) license. So far this is just the extension that provides the chat component of Copilot, but the launch announcement promises…

  • Simon Willison’s Weblog: How to Fix Your Context

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/29/how-to-fix-your-context/#atom-everything Source: Simon Willison’s Weblog Title: How to Fix Your Context Feedly Summary: How to Fix Your Context Drew Breunig has been publishing some very detailed notes on context engineering recently. In How Long Contexts Fail he described four common patterns for context rot, which he summarizes like so: Context Poisoning: When a…

  • Cloud Blog: Using Platform Engineering to simplify the developer experience – part one

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/application-development/simplifying-platform-engineering-at-john-lewis-part-one/ Source: Cloud Blog Title: Using Platform Engineering to simplify the developer experience – part one Feedly Summary: Editor’s note: This is part one of the story. After you’re finished reading, head over to part two.  In 2017, John Lewis, a major UK retailer with a £2.5bn annual online turnover, was hampered by…

  • Cloud Blog: How Schroders built its multi-agent financial analysis research assistant

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/customers/how-schroders-built-its-multi-agent-financial-analysis-research-assistant/ Source: Cloud Blog Title: How Schroders built its multi-agent financial analysis research assistant Feedly Summary: Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data sources, and produce company research. Schroders is a leading global active investment manager. Being an active manager…