Experimental News Clipping Site

Tag: manual testing

  • Docker: Tool Calling with Local LLMs: A Practical Evaluation

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    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/local-llm-tool-calling-a-practical-evaluation/ Source: Docker Title: Tool Calling with Local LLMs: A Practical Evaluation Feedly Summary: Which local model should I use for tool calling? When building GenAI and agentic applications, one of the most pressing and persistent questions is: “Which local model should I use for tool calling?”  We kept hearing again and again,…

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

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    Kurt Seifried
    in

    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: Google AI Edge Portal: On-device machine learning testing at scale

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But…

  • Cloud Blog: Unlock software delivery excellence and quality with Gemini Code Assist agents

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/read-doras-latest-research-on-software-excellence/ Source: Cloud Blog Title: Unlock software delivery excellence and quality with Gemini Code Assist agents Feedly Summary: According to DORA’s latest research – the Impact of Generative AI in Software Development report – AI tools are making software developers feel more productive, focused, and satisfied. They’re even writing better code and documentation…

  • Hacker News: Hallucinations in code are the least dangerous form of LLM mistakes

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/ Source: Hacker News Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the phenomenon of “hallucinations” in code generated by large language models (LLMs), highlighting that while such hallucinations can initially undermine developers’ confidence, they are relatively…