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Tag: parameter

  • Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…

  • AWS News Blog: Qwen models are now available in Amazon Bedrock

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/qwen-models-are-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: Qwen models are now available in Amazon Bedrock Feedly Summary: Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures…

  • Slashdot: Google Releases VaultGemma, Its First Privacy-Preserving LLM

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/09/16/000202/google-releases-vaultgemma-its-first-privacy-preserving-llm?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases VaultGemma, Its First Privacy-Preserving LLM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses recent advancements in LLMs, particularly surrounding the integration of differential privacy to mitigate the risk of memorization of sensitive training data. It highlights the balance between privacy and model performance, introducing…

  • Tomasz Tunguz: How AI Tools Differ from Human Tools

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/tools-evolution/ Source: Tomasz Tunguz Title: How AI Tools Differ from Human Tools Feedly Summary: Now that we’ve compressed nearly all human knowledge into large language models, the next frontier is tool calling. Chaining together different AI tools enables automation. The shift from thinking to doing represents the real breakthrough in AI utility. I’ve…

  • Slashdot: UAE Lab Releases Open-Source Model to Rival China’s DeepSeek

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/09/13/1734225/uae-lab-releases-open-source-model-to-rival-chinas-deepseek Source: Slashdot Title: UAE Lab Releases Open-Source Model to Rival China’s DeepSeek Feedly Summary: AI Summary and Description: Yes Summary: The United Arab Emirates is making significant advancements in the AI arena, exemplified by the release of the K2 Think model from the Institute of Foundation Models. This open-source model, which reportedly…

  • Simon Willison’s Weblog: Claude API: Web fetch tool

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/10/claude-web-fetch-tool/#atom-everything Source: Simon Willison’s Weblog Title: Claude API: Web fetch tool Feedly Summary: Claude API: Web fetch tool New in the Claude API: if you pass the web-fetch-2025-09-10 beta header you can add {“type": "web_fetch_20250910", "name": "web_fetch", "max_uses": 5} to your "tools" list and Claude will gain the ability to fetch content from…

  • Simon Willison’s Weblog: Kimi-K2-Instruct-0905

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/6/kimi-k2-instruct-0905/#atom-everything Source: Simon Willison’s Weblog Title: Kimi-K2-Instruct-0905 Feedly Summary: Kimi-K2-Instruct-0905 New not-quite-MIT licensed model from Chinese Moonshot AI, a follow-up to the highly regarded Kimi-K2 model they released in July. This one is an incremental improvement – I’ve seen it referred to online as “Kimi K-2.1". It scores a little higher on a…

  • Cloud Blog: Tata Steel enhances equipment and operations monitoring with the Manufacturing Data Engine

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/manufacturing/tata-steel-enhances-equipment-and-operations-monitoring-with-google-cloud/ Source: Cloud Blog Title: Tata Steel enhances equipment and operations monitoring with the Manufacturing Data Engine Feedly Summary: Tata Steel is one of the world’s largest steel producers, with an annual crude steel capacity exceeding 35 millions tons. With such a large and global output, we needed a way to improve asset…