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Tag: compatibility

  • Simon Willison’s Weblog: model.yaml

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/21/model-yaml/#atom-everything Source: Simon Willison’s Weblog Title: model.yaml Feedly Summary: model.yaml From their GitHub repo it looks like this effort quietly launched a couple of months ago, driven by the LM Studio team. Their goal is to specify an “open standard for defining crossplatform, composable AI models". A model can be defined using a…

  • The Cloudflare Blog: Connect any React application to an MCP server in three lines of code

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/connect-any-react-application-to-an-mcp-server-in-three-lines-of-code/ Source: The Cloudflare Blog Title: Connect any React application to an MCP server in three lines of code Feedly Summary: We’re open-sourcing use-mcp, a React library that connects to any MCP server in just 3 lines of code, as well as our AI Playground, a complete chat interface that can connect to…

  • Docker: Behind the scenes: How we designed Docker Model Runner and what’s next

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/behind-the-scenes-how-we-designed-docker-model-runner-and-whats-next/ Source: Docker Title: Behind the scenes: How we designed Docker Model Runner and what’s next Feedly Summary: The last few years have made it clear that AI models will continue to be a fundamental component of many applications. The catch is that they’re also a fundamentally different type of component, with complex…

  • Cloud Blog: BigLake evolved: Build open, high-performance, enterprise Iceberg-native lakehouses

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/enhancing-biglake-for-iceberg-lakehouses/ Source: Cloud Blog Title: BigLake evolved: Build open, high-performance, enterprise Iceberg-native lakehouses Feedly Summary: Data management is changing. Enterprises need flexible, open, and interoperable architectures that allow multiple engines to operate on a single copy of data. Apache Iceberg has emerged as the leading open table format, but in real-world deployments, customers…

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

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    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/convert-ai-generated-unstructured-data-to-a-bigquery-table/ Source: Cloud Blog Title: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery Feedly Summary: The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with…

  • CSA: MCP: The Protocol Revolutionizing AI Integration

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    Kurt Seifried
    in

    Source URL: https://www.enkryptai.com/blog/mcp-the-protocol-thats-quietly-revolutionizing-ai-integration Source: CSA Title: MCP: The Protocol Revolutionizing AI Integration Feedly Summary: AI Summary and Description: Yes **Summary:** The text introduces the Model Context Protocol (MCP), an open-standard framework designed to simplify the integration between large language models (LLMs) and various software tools. This innovation addresses the challenge developers face with one-off integrations,…