Experimental News Clipping Site

Tag: Evaluation frameworks

  • 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…