Tag: Large Language Models (LLMs)

  • Hacker News: AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs

    Source URL: https://arxiv.org/abs/2503.01890 Source: Hacker News Title: AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces AutoHete, a groundbreaking training system designed for heterogeneous environments that significantly enhances the training efficiency of large language models (LLMs). It addresses GPU memory limitations and…

  • Hacker News: Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action

    Source URL: https://venturebeat.com/ai/mayo-clinic-secret-weapon-against-ai-hallucinations-reverse-rag-in-action/ Source: Hacker News Title: Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses innovative applications of large language models (LLMs) in healthcare, specifically focusing on Mayo Clinic’s approach to mitigating data hallucinations through a “backwards RAG” technique. This…

  • Wired: An AI Coding Assistant Refused to Write Code—and Suggested the User Learn to Do It Himself

    Source URL: https://arstechnica.com/ai/2025/03/ai-coding-assistant-refuses-to-write-code-tells-user-to-learn-programming-instead/ Source: Wired Title: An AI Coding Assistant Refused to Write Code—and Suggested the User Learn to Do It Himself Feedly Summary: The old “teach a man to fish” proverb, but for AI chatbots. AI Summary and Description: Yes Summary: The text discusses a notable incident involving Cursor AI, a programming assistant, which…

  • Hacker News: Gödel, Escher, Bach, and AI (2023)

    Source URL: https://www.theatlantic.com/ideas/archive/2023/07/godel-escher-bach-geb-ai/674589/ Source: Hacker News Title: Gödel, Escher, Bach, and AI (2023) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text critiques the use of large language models (LLMs) like GPT-4 for tasks traditionally reserved for human intellect, specifically in generating text that imitates human authorship. The author, Douglas Hofstadter, reveals his…

  • Hacker News: Show HN: Open-Source MCP Server for Context and AI Tools

    Source URL: https://news.ycombinator.com/item?id=43368327 Source: Hacker News Title: Show HN: Open-Source MCP Server for Context and AI Tools Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the capabilities of the JigsawStack MCP Server, an open-source tool that enhances the functionality of Large Language Models (LLMs) by allowing them to access external resources…

  • Hacker News: Any insider takes on Yann LeCun’s push against current architectures?

    Source URL: https://news.ycombinator.com/item?id=43325049 Source: Hacker News Title: Any insider takes on Yann LeCun’s push against current architectures? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Yann Lecun’s perspective on the limitations of large language models (LLMs) and introduces the concept of an ‘energy minimization’ architecture to address issues like hallucinations. This…

  • CSA: How Can AI Governance Ensure Ethical AI Use?

    Source URL: https://cloudsecurityalliance.org/blog/2025/03/14/ai-security-and-governance Source: CSA Title: How Can AI Governance Ensure Ethical AI Use? Feedly Summary: AI Summary and Description: Yes Summary: The text addresses the critical importance of AI security and governance amidst the rapid adoption of AI technologies across industries. It highlights the need for transparent and ethical AI practices and outlines regulatory…

  • Embrace The Red: Sneaky Bits: Advanced Data Smuggling Techniques (ASCII Smuggler Updates)

    Source URL: https://embracethered.com/blog/posts/2025/sneaky-bits-and-ascii-smuggler/ Source: Embrace The Red Title: Sneaky Bits: Advanced Data Smuggling Techniques (ASCII Smuggler Updates) Feedly Summary: You are likely aware of ASCII Smuggling via Unicode Tags. It is unique and fascinating because many LLMs inherently interpret these as instructions when delivered as hidden prompt injection, and LLMs can also emit them. Then,…