Experimental News Clipping Site

Tag: evaluation framework

  • 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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    system automation
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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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    system automation
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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…

  • Hamel’s Blog: Creating a LLM-as-a-Judge That Drives Business Results

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    Source URL: https://hamel.dev/blog/posts/llm-judge/ Source: Hamel’s Blog Title: Creating a LLM-as-a-Judge That Drives Business Results Feedly Summary: Earlier this year, I wrote Your AI product needs evals. Many of you asked, “How do I get started with LLM-as-a-judge?” This guide shares what I’ve learned after helping over 30 companies set up their evaluation systems. The Problem:…

  • METR Blog – METR: An update on our general capability evaluations

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    system automation
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    Source URL: https://metr.org/blog/2024-08-06-update-on-evaluations/ Source: METR Blog – METR Title: An update on our general capability evaluations Feedly Summary: AI Summary and Description: Yes **Summary:** The provided text discusses the development of evaluation metrics for AI capabilities, particularly focusing on autonomous systems. It aims to create measures that can assess general autonomy rather than solely relying…

  • Hacker News: Sabotage Evaluations for Frontier Models

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    system automation
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    Source URL: https://www.anthropic.com/research/sabotage-evaluations Source: Hacker News Title: Sabotage Evaluations for Frontier Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines a comprehensive series of evaluation techniques developed by the Anthropic Alignment Science team to assess potential sabotage capabilities in AI models. These evaluations are crucial for ensuring the safety and integrity…