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Tag: Evaluation Metrics

  • AWS Open Source Blog: Strands Agents and the Model-Driven Approach

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/ Source: AWS Open Source Blog Title: Strands Agents and the Model-Driven Approach Feedly Summary: Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle…

  • The Register: Search-capable AI agents may cheat on benchmark tests

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/23/searchcapable_ai_agents_may_cheat/ Source: The Register Title: Search-capable AI agents may cheat on benchmark tests Feedly Summary: Data contamination can make models seem more capable than they really are Researchers with Scale AI have found that search-based AI models may cheat on benchmark tests by fetching the answers directly from online sources rather than deriving…

  • Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…

  • Campus Technology: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems

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    Kurt Seifried
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    Source URL: https://campustechnology.com/articles/2025/06/13/cloud-security-alliance-offers-playbook-for-red-teaming-agentic-ai-systems.aspx?admgarea=topic.security Source: Campus Technology Title: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems Feedly Summary: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems AI Summary and Description: Yes Summary: The Cloud Security Alliance (CSA) has released a guide tailored for red teaming Agentic AI systems, addressing the…

  • Campus Technology: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems

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    Kurt Seifried
    in

    Source URL: https://campustechnology.com/articles/2025/06/13/cloud-security-alliance-offers-playbook-for-red-teaming-agentic-ai-systems.aspx?admgarea=news Source: Campus Technology Title: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems Feedly Summary: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems AI Summary and Description: Yes Summary: The Cloud Security Alliance (CSA) has published a comprehensive guide for red teaming Agentic AI systems, addressing the…

  • Cloud Blog: Palo Alto Networks’ journey to productionizing gen AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/partners/how-palo-alto-networks-builds-gen-ai-solutions/ Source: Cloud Blog Title: Palo Alto Networks’ journey to productionizing gen AI Feedly Summary: At Google Cloud, we empower businesses to accelerate their generative AI innovation cycle by providing a path from prototype to production. Palo Alto Networks, a global cybersecurity leader, partnered with Google Cloud to develop an innovative security posture…

  • Simon Willison’s Weblog: Quoting Andrew Ng

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/18/andrew-ng/ Source: Simon Willison’s Weblog Title: Quoting Andrew Ng Feedly Summary: To me, a successful eval meets the following criteria. Say, we currently have system A, and we might tweak it to get a system B: If A works significantly better than B according to a skilled human judge, the eval should give…

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

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    Kurt Seifried
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    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.…