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Tag: parameter

  • Slashdot: Nvidia Release Massive AI-Ready Open European Language Dataset and Tools

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    by

    Kurt Seifried
    in

    Source URL: https://hardware.slashdot.org/story/25/08/23/1731237/nvidia-release-massive-ai-ready-open-european-language-dataset-and-tools Source: Slashdot Title: Nvidia Release Massive AI-Ready Open European Language Dataset and Tools Feedly Summary: AI Summary and Description: Yes Summary: Nvidia has launched Granary, an extensive open-source dataset that significantly enhances AI translation capabilities for European languages. This initiative, alongside new AI models Canary and Parakeet, aims to improve the inclusivity…

  • Simon Willison’s Weblog: DeepSeek 3.1

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/22/deepseek-31/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek 3.1 Feedly Summary: DeepSeek 3.1 The latest model from DeepSeek, a 685B monster (like DeepSeek v3 before it) but this time it’s a hybrid reasoning model. DeepSeek claim: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly. Drew Breunig points out that their benchmarks…

  • Docker: Prototyping an AI Tutor with Docker Model Runner

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/how-to-build-an-ai-tutor-with-model-runner/ Source: Docker Title: Prototyping an AI Tutor with Docker Model Runner Feedly Summary: Every developer remembers their first docker run hello-world. The mix of excitement and wonder as that simple command pulls an image, creates a container, and displays a friendly message. But what if AI could make that experience even better?…

  • Cloud Blog: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-a-real-time-voice-agent-with-gemini-adk/ Source: Cloud Blog Title: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol Feedly Summary: Building advanced conversational AI has moved well beyond text. Now, we can use AI to create real-time, voice-driven agents. However, these systems need low-latency, two-way communication, real-time information retrieval, and the ability…

  • Cloud Blog: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

  • Enterprise AI Trends: GPT-5: Strategic Implications

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    Kurt Seifried
    in

    Source URL: https://nextword.substack.com/p/gpt-5-strategic-implications Source: Enterprise AI Trends Title: GPT-5: Strategic Implications Feedly Summary: Not feeling the AGI? That’s not the point. AI Summary and Description: Yes **Summary:** The text discusses the significant implications of OpenAI’s recent transition to GPT-5, including the retirement of previous models and the introduction of a model router, which will streamline…

  • Simon Willison’s Weblog: TIL: Running a gpt-oss eval suite against LM Studio on a Mac

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/17/gpt-oss-eval-suite/#atom-everything Source: Simon Willison’s Weblog Title: TIL: Running a gpt-oss eval suite against LM Studio on a Mac Feedly Summary: TIL: Running a gpt-oss eval suite against LM Studio on a Mac The other day I learned that OpenAI published a set of evals as part of their gpt-oss model release, described in…