Experimental News Clipping Site

Tag: llms

  • CSA: AI and Compliance for the Mid-Market

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    Kurt Seifried
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    Source URL: https://www.scrut.io/post/ai-and-compliance-for-the-mid-market Source: CSA Title: AI and Compliance for the Mid-Market Feedly Summary: AI Summary and Description: Yes **Summary:** The text emphasizes the urgent need for small and medium-sized businesses (SMBs) to adopt AI responsibly, given the potential cybersecurity vulnerabilities and evolving regulatory landscape associated with AI technologies. It outlines practical guidance and standards…

  • CSA: LLM Dragons: Why DSPM is the Key to AI Security

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/articles/training-your-llm-dragons-why-dspm-is-the-key-to-ai-security Source: CSA Title: LLM Dragons: Why DSPM is the Key to AI Security Feedly Summary: AI Summary and Description: Yes Summary: The text emphasizes the security risks associated with AI implementations, particularly custom large language models (LLMs) and Microsoft Copilot. It outlines key threats such as data leakage and compliance failures and…

  • Hacker News: Cosine Similarity Isn’t the Silver Bullet We Thought It Was

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    Kurt Seifried
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    Source URL: https://www.shaped.ai/blog/cosine-similarity-not-the-silver-bullet-we-thought-it-was Source: Hacker News Title: Cosine Similarity Isn’t the Silver Bullet We Thought It Was Feedly Summary: Comments AI Summary and Description: Yes Summary: The study from Netflix and Cornell University critically examines the use of cosine similarity in measuring the similarity of embeddings, revealing potential flaws and arbitrary results that could mislead…

  • Chip Huyen: Common pitfalls when building generative AI applications

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    Kurt Seifried
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    Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…

  • Simon Willison’s Weblog: Quoting gwern

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/16/gwern/#atom-everything Source: Simon Willison’s Weblog Title: Quoting gwern Feedly Summary: […] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session…

  • Slashdot: AI Slashes Google’s Code Migration Time By Half

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/01/16/1810253/ai-slashes-googles-code-migration-time-by-half?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Slashes Google’s Code Migration Time By Half Feedly Summary: AI Summary and Description: Yes Summary: Google has leveraged AI tools to significantly reduce the time required for large-scale software migration, cutting the process in half through the use of large language models. This innovation is particularly relevant for…

  • Cloud Blog: New year, new updates to AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/a3-ultra-with-nvidia-h200-gpus-are-ga-on-ai-hypercomputer/ Source: Cloud Blog Title: New year, new updates to AI Hypercomputer Feedly Summary: The last few weeks of 2024 were exhilarating as we worked to bring you multiple advancements in AI infrastructure, including the general availability of Trillium, our sixth-generation TPU, A3 Ultra VMs powered by NVIDIA H200 GPUs, support for up…

  • Hacker News: Test-Driven Development with an LLM for Fun and Profit

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    Kurt Seifried
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    Source URL: https://blog.yfzhou.fyi/posts/tdd-llm/ Source: Hacker News Title: Test-Driven Development with an LLM for Fun and Profit Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the integration of AI into software development practices, particularly focusing on the use of Large Language Models (LLMs) like GitHub Copilot in Test-Driven Development (TDD). It highlights…

  • Simon Willison’s Weblog: Quoting Alex Albert

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/16/alex-albert/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Alex Albert Feedly Summary: We’ve adjusted prompt caching so that you now only need to specify cache write points in your prompts – we’ll automatically check for cache hits at previous positions. No more manual tracking of read locations needed. — Alex Albert, Anthropic Tags: alex-albert,…

  • The Register: Google reports halving code migration time with AI help

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/16/google_ai_code_migration/ Source: The Register Title: Google reports halving code migration time with AI help Feedly Summary: Chocolate Factory slurps own dogfood, sheds drudgery in specific areas Google, which peddles AI software with as much giddy enthusiasm as Microsoft, reports dogfooding its own AI concoction and leaving the lab with a pleasant taste in…