Tag: async

  • 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…

  • Cloud Blog: Supercharge your data the open-source way: Memorystore for Valkey is now GA

    Source URL: https://cloud.google.com/blog/products/databases/announcing-general-availability-of-memorystore-for-valkey/ Source: Cloud Blog Title: Supercharge your data the open-source way: Memorystore for Valkey is now GA Feedly Summary: Editor’s note: Ping Xie is a Valkey maintainer on the Valkey Technical Steering Committee (TSC). Memorystore, Google Cloud’s fully managed in-memory service for Valkey, Redis and Memcached, plays an increasingly important role in our…

  • 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…

  • The Cloudflare Blog: Simple, scalable, and global: Containers are coming to Cloudflare Workers in June 2025

    Source URL: https://blog.cloudflare.com/cloudflare-containers-coming-2025/ Source: The Cloudflare Blog Title: Simple, scalable, and global: Containers are coming to Cloudflare Workers in June 2025 Feedly Summary: Cloudflare Containers are coming this June. Run new types of workloads on our network with an experience that is simple, scalable, global and deeply integrated with Workers. AI Summary and Description: Yes…

  • The Cloudflare Blog: Workers AI gets a speed boost, batch workload support, more LoRAs, new models, and a refreshed dashboard

    Source URL: https://blog.cloudflare.com/workers-ai-improvements/ Source: The Cloudflare Blog Title: Workers AI gets a speed boost, batch workload support, more LoRAs, new models, and a refreshed dashboard Feedly Summary: We just made Workers AI inference faster with speculative decoding & prefix caching. Use our new batch inference for handling large request volumes seamlessly. AI Summary and Description:…

  • The Cloudflare Blog: How we simplified NCMEC reporting with Cloudflare Workflows

    Source URL: https://blog.cloudflare.com/simplifying-ncmec-reporting-with-cloudflare-workflows/ Source: The Cloudflare Blog Title: How we simplified NCMEC reporting with Cloudflare Workflows Feedly Summary: We transitioned to Cloudflare Workflows to manage complex, multi-step processes more efficiently. This shift replaced our National Center for Missing & Exploited Children (NCMEC) reporting system. AI Summary and Description: Yes Summary: The text outlines Cloudflare’s implementation…

  • The Cloudflare Blog: Cloudflare Workflows is now GA: production-ready durable execution

    Source URL: https://blog.cloudflare.com/workflows-ga-production-ready-durable-execution/ Source: The Cloudflare Blog Title: Cloudflare Workflows is now GA: production-ready durable execution Feedly Summary: Workflows — a durable execution engine built directly on top of Workers — is now Generally Available. We’ve landed new human-in-the-loop capabilities, more scale, and more metrics. AI Summary and Description: Yes Summary: The text discusses the…

  • Simon Willison’s Weblog: smartfunc

    Source URL: https://simonwillison.net/2025/Apr/3/smartfunc/ Source: Simon Willison’s Weblog Title: smartfunc Feedly Summary: smartfunc Vincent D. Warmerdam built this ingenious wrapper around my LLM Python library which lets you build LLM wrapper functions using a decorator and a docstring: from smartfunc import backend @backend(“gpt-4o") def generate_summary(text: str): """Generate a summary of the following text: """ pass summary…

  • Scott Logic: InferESG: Finding the Right Architecture for AI-Powered ESG Analysis

    Source URL: https://blog.scottlogic.com/2025/04/02/inferesg-finding-the-right-architecture.html Source: Scott Logic Title: InferESG: Finding the Right Architecture for AI-Powered ESG Analysis Feedly Summary: During the InferESG project, we made a pivotal decision to use an orchestrated workflow to conduct a deterministic process, parallel to the agentic system. AI Summary and Description: Yes Summary: The text outlines the development journey of…