Tag: language model

  • Cloud Blog: Google Cloud Database and LangChain integrations now support Go, Java, and JavaScript

    Source URL: https://cloud.google.com/blog/products/databases/google-cloud-database-and-langchain-integrations-support-go-java-and-javascript/ Source: Cloud Blog Title: Google Cloud Database and LangChain integrations now support Go, Java, and JavaScript Feedly Summary: Last year, Google Cloud and LangChain announced integrations that give generative AI developers access to a suite of LangChain Python packages. This allowed application developers to leverage Google Cloud’s database portfolio in their gen…

  • The Register: <em>El Reg’s</em> essential guide to deploying LLMs in production

    Source URL: https://www.theregister.com/2025/04/22/llm_production_guide/ Source: The Register Title: <em>El Reg’s</em> essential guide to deploying LLMs in production Feedly Summary: Running GenAI models is easy. Scaling them to thousands of users, not so much Hands On You can spin up a chatbot with Llama.cpp or Ollama in minutes, but scaling large language models to handle real workloads…

  • Simon Willison’s Weblog: AI assisted search-based research actually works now

    Source URL: https://simonwillison.net/2025/Apr/21/ai-assisted-search/#atom-everything Source: Simon Willison’s Weblog Title: AI assisted search-based research actually works now Feedly Summary: For the past two and a half years the feature I’ve most wanted from LLMs is the ability to take on search-based research tasks on my behalf. We saw the first glimpses of this back in early 2023,…

  • The Register: Everything you need to get up and running with MCP – Anthropic’s USB-C for AI

    Source URL: https://www.theregister.com/2025/04/21/mcp_guide/ Source: The Register Title: Everything you need to get up and running with MCP – Anthropic’s USB-C for AI Feedly Summary: Wrangling your data into LLMs just got easier, though it’s not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up…

  • Slashdot: Can You Run the Llama 2 LLM on DOS?

    Source URL: https://tech.slashdot.org/story/25/04/21/0026255/can-you-run-the-llama-2-llm-on-dos Source: Slashdot Title: Can You Run the Llama 2 LLM on DOS? Feedly Summary: AI Summary and Description: Yes Summary: The text revolves around an innovative project by an embedded security researcher who successfully ported Llama 2, a large language model (LLM), to run on vintage DOS machines. This challenges the conventional…

  • Simon Willison’s Weblog: llm-fragments-github 0.2

    Source URL: https://simonwillison.net/2025/Apr/20/llm-fragments-github/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-github 0.2 Feedly Summary: llm-fragments-github 0.2 I upgraded my llm-fragments-github plugin to add a new fragment type called issue. It lets you pull the entire content of a GitHub issue thread into your prompt as a concatenated Markdown file. (If you haven’t seen fragments before I introduced…

  • Simon Willison’s Weblog: MCP Run Python

    Source URL: https://simonwillison.net/2025/Apr/18/mcp-run-python/ Source: Simon Willison’s Weblog Title: MCP Run Python Feedly Summary: MCP Run Python Pydantic AI’s MCP server for running LLM-generated Python code in a sandbox. They ended up using a trick I explored two years ago: using a Deno process to run Pyodide in a WebAssembly sandbox. Here’s a bit of a…

  • Simon Willison’s Weblog: Start building with Gemini 2.5 Flash

    Source URL: https://simonwillison.net/2025/Apr/17/start-building-with-gemini-25-flash/ Source: Simon Willison’s Weblog Title: Start building with Gemini 2.5 Flash Feedly Summary: Start building with Gemini 2.5 Flash Google Gemini’s latest model is Gemini 2.5 Flash, available in (paid) preview as gemini-2.5-flash-preview-04-17. Building upon the popular foundation of 2.0 Flash, this new version delivers a major upgrade in reasoning capabilities, while…

  • Simon Willison’s Weblog: Quoting Ted Sanders, OpenAI

    Source URL: https://simonwillison.net/2025/Apr/17/ted-sanders/ Source: Simon Willison’s Weblog Title: Quoting Ted Sanders, OpenAI Feedly Summary: Our hypothesis is that o4-mini is a much better model, but we’ll wait to hear feedback from developers. Evals only tell part of the story, and we wouldn’t want to prematurely deprecate a model that developers continue to find value in.…