Experimental News Clipping Site

Tag: functionality

  • Cloud Blog: Accelerate Mainframe Modernization with gen AI from Google Cloud and its partners

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/accelerate-mainframe-modernization-with-google-cloud-ai/ Source: Cloud Blog Title: Accelerate Mainframe Modernization with gen AI from Google Cloud and its partners Feedly Summary: Modernizing mainframes has been a long and expensive process for too long. Today, we’re launching new solutions that bring the combined strength of Gemini models, and our partners’ technologies and services to accelerate mainframe…

  • Simon Willison’s Weblog: smartfunc

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Instance Replication now available for Filestore

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/filestore-instance-replication-now-available/ Source: Cloud Blog Title: Instance Replication now available for Filestore Feedly Summary: We are excited to announce Filestore Instance Replication on Google Cloud, which helps customers meet their business continuity goals and regulatory requirements. The feature offers an efficient replication point objective (RPO) that can reach 30 minutes for data change rates…

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

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/multi-cluster-orchestrator-for-cross-region-kubernetes-workloads/ Source: Cloud Blog Title: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions Feedly Summary: Today, we’re excited to announce the public preview of Multi-Cluster Orchestrator, a new service designed to streamline and simplify the management of workloads across Kubernetes clusters. Multi-Cluster Orchestrator lets platform and application teams optimize resource utilization, enhance…

  • Docker: Docker Desktop 4.40: Model Runner to run LLMs locally, more powerful Docker AI Agent, and expanded AI Tools Catalog

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/docker-desktop-4-40/ Source: Docker Title: Docker Desktop 4.40: Model Runner to run LLMs locally, more powerful Docker AI Agent, and expanded AI Tools Catalog Feedly Summary: In Docker Desktop 4.40, we’re introducing new tools that simplify GenAI app development and support secure, scalable development. AI Summary and Description: Yes Summary: The text discusses Docker…

  • Simon Willison’s Weblog: Pydantic Evals

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/1/pydantic-evals/#atom-everything Source: Simon Willison’s Weblog Title: Pydantic Evals Feedly Summary: Pydantic Evals Brand new package from the Pydantic AI team which directly tackles what I consider to be the single hardest problem in AI engineering: building evals to determine if your LLM-based system is working correctly and getting better over time. The feature…

  • Simon Willison’s Weblog: debug-gym

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/31/debug-gym/#atom-everything Source: Simon Willison’s Weblog Title: debug-gym Feedly Summary: debug-gym New paper and code from Microsoft Research that experiments with giving LLMs access to the Python debugger. They found that the best models could indeed improve their results by running pdb as a tool. They saw the best results overall from Claude 3.7…

  • Hacker News: LLM Workflows then Agents: Getting Started with Apache Airflow

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/astronomer/airflow-ai-sdk Source: Hacker News Title: LLM Workflows then Agents: Getting Started with Apache Airflow Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents an SDK for integrating large language models (LLMs) into Apache Airflow workflows. This novel approach enhances AI orchestration by providing refined task decorators that streamline calling LLMs,…