Experimental News Clipping Site

Tag: language models

  • Schneier on Security: On Generative AI Security

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/on-generative-ai-security.html Source: Schneier on Security Title: On Generative AI Security Feedly Summary: Microsoft’s AI Red Team just published “Lessons from Red Teaming 100 Generative AI Products.” Their blog post lists “three takeaways,” but the eight lessons in the report itself are more useful: Understand what the system can do and where it is…

  • Hacker News: How I use LLMs as a staff engineer

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    Kurt Seifried
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    Source URL: https://www.seangoedecke.com/how-i-use-llms/ Source: Hacker News Title: How I use LLMs as a staff engineer Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a nuanced perspective on the use of large language models (LLMs) within software engineering, highlighting both their transformative potential and limitations. It details real-world applications and personal strategies…

  • Hacker News: How to Scale Your Model: A Systems View of LLMs on TPUs

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    Kurt Seifried
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    Source URL: https://jax-ml.github.io/scaling-book/ Source: Hacker News Title: How to Scale Your Model: A Systems View of LLMs on TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the performance optimization of large language models (LLMs) on tensor processing units (TPUs), addressing issues related to scaling and efficiency. It emphasizes the importance…

  • Hacker News: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.01142 Source: Hacker News Title: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a novel framework called DeepRAG, designed to improve the reasoning capabilities of Large Language Models (LLMs) by enhancing the retrieval-augmented generation process. This is particularly…

  • Hacker News: DoppelBot: Replace Your CEO with an LLM

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    Kurt Seifried
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    Source URL: https://modal.com/docs/examples/slack-finetune Source: Hacker News Title: DoppelBot: Replace Your CEO with an LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of DoppelBot, a Slack bot that leverages fine-tuned large language models (LLMs) to enhance workplace communication and productivity. It illustrates the practical application of AI in automating…

  • Hacker News: Open Euro LLM: Open LLMs for Transparent AI in Europe

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    Kurt Seifried
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    Source URL: https://openeurollm.eu/launch-press-release Source: Hacker News Title: Open Euro LLM: Open LLMs for Transparent AI in Europe Feedly Summary: Comments AI Summary and Description: Yes Summary: The OpenEuroLLM project is an innovative initiative involving collaboration among Europe’s leading AI companies and research institutions to develop open-source language models. This project aims to improve Europe’s AI…

  • Slashdot: Anthropic Makes ‘Jailbreak’ Advance To Stop AI Models Producing Harmful Results

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/03/1810255/anthropic-makes-jailbreak-advance-to-stop-ai-models-producing-harmful-results?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic Makes ‘Jailbreak’ Advance To Stop AI Models Producing Harmful Results Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced a new technique called “constitutional classifiers” designed to enhance the security of large language models (LLMs) like its Claude chatbot. This system aims to mitigate risks associated…

  • Hacker News: Evaluating Code Embedding Models

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    Kurt Seifried
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    Source URL: https://blog.voyageai.com/2024/12/04/code-retrieval-eval/ Source: Hacker News Title: Evaluating Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and limitations within the field of code retrieval, particularly as it pertains to embedding models used in coding assistants. It highlights the need for high-quality benchmarking datasets, identifies typical subtasks…

  • Simon Willison’s Weblog: Constitutional Classifiers: Defending against universal jailbreaks

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/3/constitutional-classifiers/ Source: Simon Willison’s Weblog Title: Constitutional Classifiers: Defending against universal jailbreaks Feedly Summary: Constitutional Classifiers: Defending against universal jailbreaks Interesting new research from Anthropic, resulting in the paper Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. From the paper: In particular, we introduce Constitutional Classifiers, a framework…

  • Hacker News: Constitutional Classifiers: Defending against universal jailbreaks

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    Kurt Seifried
    in

    Source URL: https://www.anthropic.com/research/constitutional-classifiers Source: Hacker News Title: Constitutional Classifiers: Defending against universal jailbreaks Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach by the Anthropic Safeguards Research Team to defend AI models against jailbreaks through the use of Constitutional Classifiers. This system demonstrates robustness against various jailbreak techniques while…