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Tag: llama

  • Cloud Blog: Cloud Run GPUs, now GA, makes running AI workloads easier for everyone

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/serverless/cloud-run-gpus-are-now-generally-available/ Source: Cloud Blog Title: Cloud Run GPUs, now GA, makes running AI workloads easier for everyone Feedly Summary: Developers love Cloud Run, Google Cloud’s serverless runtime, for its simplicity, flexibility, and scalability. And today, we’re thrilled to announce that NVIDIA GPU support for Cloud Run is now generally available, offering a powerful…

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-R1-0528

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/31/deepseek-aideepseek-r1-0528/ Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-R1-0528 Feedly Summary: deepseek-ai/DeepSeek-R1-0528 Sadly the trend for terrible naming of models has infested the Chinese AI labs as well. DeepSeek-R1-0528 is a brand new and much improved open weights reasoning model from DeepSeek, a major step up from the DeepSeek R1 they released back in January.…

  • Slashdot: Meta and Anduril Work On Mixed Reality Headsets For the Military

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/05/31/0015201/meta-and-anduril-work-on-mixed-reality-headsets-for-the-military?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta and Anduril Work On Mixed Reality Headsets For the Military Feedly Summary: AI Summary and Description: Yes Summary: The collaboration between Meta and Anduril to develop mixed reality headsets for the U.S. military integrates Meta’s Llama AI and mixed reality technology. This partnership highlights a significant intersection of…

  • Simon Willison’s Weblog: llm-github-models 0.15

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/29/llm-github-models-015/ Source: Simon Willison’s Weblog Title: llm-github-models 0.15 Feedly Summary: llm-github-models 0.15 Anthony Shaw’s llm-github-models plugin just got an upgrade: it now supports LLM 0.26 tool use for a subset of the models hosted on the GitHub Models API, contributed by Caleb Brose. The neat thing about this GitHub Models plugin is that…

  • Simon Willison’s Weblog: llm-llama-server 0.2

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/28/llama-server-tools/ Source: Simon Willison’s Weblog Title: llm-llama-server 0.2 Feedly Summary: llm-llama-server 0.2 Here’s a second option for using LLM’s new tool support against local models (the first was via llm-ollama). It turns out the llama.cpp ecosystem has pretty robust OpenAI-compatible tool support already, so my llm-llama-server plugin only needed a quick upgrade to…

  • Simon Willison’s Weblog: Large Language Models can run tools in your terminal with LLM 0.26

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/27/llm-tools/ Source: Simon Willison’s Weblog Title: Large Language Models can run tools in your terminal with LLM 0.26 Feedly Summary: LLM 0.26 is out with the biggest new feature since I started the project: support for tools. You can now use the LLM CLI tool – and Python library – to grant LLMs…

  • Cloud Blog: Vertex AI Studio, redesigned: Your source for generative AI media models across all modalities

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/vertex-ai-studio-redesigned/ Source: Cloud Blog Title: Vertex AI Studio, redesigned: Your source for generative AI media models across all modalities Feedly Summary: Google Cloud’s Vertex AI platform makes it easy to experiment with and customize over 200 advanced foundation models – like the latest Google Gemini models, and third-party partner models such as Meta’s…

  • Simon Willison’s Weblog: Devstral

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…