Experimental News Clipping Site

Tag: agent evaluation

  • Cloud Blog: Announcing a complete developer toolkit for scaling A2A agents on Google Cloud

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/agent2agent-protocol-is-getting-an-upgrade/ Source: Cloud Blog Title: Announcing a complete developer toolkit for scaling A2A agents on Google Cloud Feedly Summary: AI is  evolving beyond single, task-specific agents into an interconnected ecosystem, where autonomous agents collaborate  to solve complex problems, regardless of their underlying platform. To make this transition easier for developers, we are announcing…

  • Cloud Blog: How Schroders built its multi-agent financial analysis research assistant

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/customers/how-schroders-built-its-multi-agent-financial-analysis-research-assistant/ Source: Cloud Blog Title: How Schroders built its multi-agent financial analysis research assistant Feedly Summary: Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data sources, and produce company research. Schroders is a leading global active investment manager. Being an active manager…

  • Cloud Blog: How good is your AI? Gen AI evaluation at every stage, explained

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-evaluate-your-gen-ai-at-every-stage/ Source: Cloud Blog Title: How good is your AI? Gen AI evaluation at every stage, explained Feedly Summary: As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?" but "How well does it do it?".  Ensuring the quality, reliability, and…