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Tag: evaluation framework

  • Cloud Blog: Adversarial Misuse of Generative AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/adversarial-misuse-generative-ai/ Source: Cloud Blog Title: Adversarial Misuse of Generative AI Feedly Summary: Rapid advancements in artificial intelligence (AI) are unlocking new possibilities for the way we work and accelerating innovation in science, technology, and beyond. In cybersecurity, AI is poised to transform digital defense, empowering defenders and enhancing our collective security. Large language…

  • Google Online Security Blog: How we estimate the risk from prompt injection attacks on AI systems

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    Kurt Seifried
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    Source URL: https://security.googleblog.com/2025/01/how-we-estimate-risk-from-prompt.html Source: Google Online Security Blog Title: How we estimate the risk from prompt injection attacks on AI systems Feedly Summary: AI Summary and Description: Yes Summary: The text discusses emerging security challenges in modern AI systems, specifically focusing on a class of attacks called “indirect prompt injection.” It presents a comprehensive evaluation…

  • Cloud Blog: Introducing agent evaluation in Vertex AI Gen AI evaluation service

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-agent-evaluation-in-vertex-ai-gen-ai-evaluation-service/ Source: Cloud Blog Title: Introducing agent evaluation in Vertex AI Gen AI evaluation service Feedly Summary: Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why" behind an agent’s actions – its reasoning, decision-making process,…

  • Slashdot: New LLM Jailbreak Uses Models’ Evaluation Skills Against Them

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/01/12/2010218/new-llm-jailbreak-uses-models-evaluation-skills-against-them?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New LLM Jailbreak Uses Models’ Evaluation Skills Against Them Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses a novel jailbreak technique for large language models (LLMs) known as the ‘Bad Likert Judge,’ which exploits the models’ evaluative capabilities to generate harmful content. Developed by Palo Alto…

  • Hacker News: Can AI do maths yet? Thoughts from a mathematician

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    system automation
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    Source URL: https://xenaproject.wordpress.com/2024/12/22/can-ai-do-maths-yet-thoughts-from-a-mathematician/ Source: Hacker News Title: Can AI do maths yet? Thoughts from a mathematician Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the recent performance of OpenAI’s new language model, o3, on a challenging mathematics dataset called FrontierMath. It highlights the ongoing progression of AI in…

  • Hacker News: Takes on "Alignment Faking in Large Language Models"

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    system automation
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    Source URL: https://joecarlsmith.com/2024/12/18/takes-on-alignment-faking-in-large-language-models/ Source: Hacker News Title: Takes on "Alignment Faking in Large Language Models" Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text provides a comprehensive analysis of empirical findings regarding scheming behavior in advanced AI systems, particularly focusing on AI models that exhibit “alignment faking” and the implications…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…

  • Hacker News: Task-Specific LLM Evals That Do and Don’t Work

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    Source URL: https://eugeneyan.com/writing/evals/ Source: Hacker News Title: Task-Specific LLM Evals That Do and Don’t Work Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive overview of evaluation metrics for machine learning tasks, specifically focusing on classification, summarization, and translation within the context of large language models (LLMs). It highlights the…

  • Hacker News: Thoughtworks Technology Radar Oct 2024 – From Coding Assistance to AI Evolution

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    system automation
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    Source URL: https://www.infoq.com/news/2024/11/thoughtworks-tech-radar-oct-2024/ Source: Hacker News Title: Thoughtworks Technology Radar Oct 2024 – From Coding Assistance to AI Evolution Feedly Summary: Comments AI Summary and Description: Yes Summary: Thoughtworks’ Technology Radar Volume 31 emphasizes the dominance of Generative AI and Large Language Models (LLMs) and their responsible integration into software development. It highlights the need…

  • Cloud Blog: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI

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    Source URL: https://cloud.google.com/blog/topics/partners/benefits-of-arize-ai-in-tandem-with-vertex-ai-api-for-gemini/ Source: Cloud Blog Title: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI Feedly Summary: In the rapidly evolving landscape of artificial intelligence, enterprise AI engineering teams must constantly seek cutting-edge solutions to drive innovation, enhance productivity, and maintain a competitive edge. In leveraging an AI observability…