Experimental News Clipping Site

Tag: cosine similarity

  • Hacker News: Don’t use cosine similarity carelessly

    —

    by

    Kurt Seifried
    in

    Source URL: https://p.migdal.pl/blog/2025/01/dont-use-cosine-similarity/ Source: Hacker News Title: Don’t use cosine similarity carelessly Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the complexities and limitations of using cosine similarity in AI, particularly in the context of vector embeddings derived from language models. It critiques the blind application of cosine similarity to assess…

  • Hacker News: How to make LLMs shut up

    —

    by

    system automation
    in

    Source URL: https://www.greptile.com/blog/make-llms-shut-up Source: Hacker News Title: How to make LLMs shut up Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the challenges and solutions encountered while developing an AI-powered code review bot, particularly focusing on the issue of excessive and often unhelpful comments generated by large language models (LLMs). The…

  • Hacker News: Understanding SIMD: Infinite Complexity of Trivial Problems

    —

    by

    system automation
    in

    Source URL: https://www.modular.com/blog/understanding-simd-infinite-complexity-of-trivial-problems Source: Hacker News Title: Understanding SIMD: Infinite Complexity of Trivial Problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements and challenges surrounding SIMD (Single Instruction, Multiple Data) operations, particularly in the context of high-performance computing for AI applications. The focus is on how to effectively leverage modern…

  • Hacker News: Binary vector embeddings are so cool

    —

    by

    system automation
    in

    Source URL: https://emschwartz.me/binary-vector-embeddings-are-so-cool/ Source: Hacker News Title: Binary vector embeddings are so cool Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses binary quantized vector embeddings, emphasizing their ability to retain high accuracy while dramatically reducing storage size for machine learning applications. This topic is particularly relevant for AI and infrastructure security…

  • Hacker News: Alternatives to cosine similarity

    —

    by

    system automation
    in

    Source URL: https://tomhazledine.com/cosine-similarity-alternatives/ Source: Hacker News Title: Alternatives to cosine similarity Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses various methods for comparing vectors, particularly in the context of LLM embeddings, emphasizing the utility of cosine similarity over alternative distance functions like Euclidean and Manhattan distances. It underscores the significance of…

  • Hacker News: How does cosine similarity work?

    —

    by

    system automation
    in

    Source URL: https://tomhazledine.com/cosine-similarity/ Source: Hacker News Title: How does cosine similarity work? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth exploration of cosine similarity in the context of comparing large language model (LLM) embeddings. It discusses the mathematical principles behind cosine similarity, its significance in measuring vector similarity, and…