Experimental News Clipping Site

Tag: embeddings

  • Hacker News: Why LLMs still suck at OCR

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    Kurt Seifried
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    Source URL: https://www.runpulse.com/blog/why-llms-suck-at-ocr Source: Hacker News Title: Why LLMs still suck at OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the challenges faced when using Large Language Models (LLMs) for tasks like Optical Character Recognition (OCR) and complex data extraction, emphasizing their limitations in processing intricate document layouts and the…

  • Hacker News: Pre-Trained Large Language Models Use Fourier Features to Compute Addition

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2406.03445 Source: Hacker News Title: Pre-Trained Large Language Models Use Fourier Features to Compute Addition Feedly Summary: Comments AI Summary and Description: Yes Short Summary: The paper discusses how pre-trained large language models (LLMs) utilize Fourier features to enhance their arithmetic capabilities, specifically focusing on addition. It provides insights into the mechanisms that…

  • AWS News Blog: AWS Weekly roundup: EventBridge, SNS FIFO, Amazon Corretto, Amazon Connect, Amazon Bedrock, and more

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-eventbridge-sns-fifo-amazon-corretto-amazon-connect-amazon-bedrock-and-more/ Source: AWS News Blog Title: AWS Weekly roundup: EventBridge, SNS FIFO, Amazon Corretto, Amazon Connect, Amazon Bedrock, and more Feedly Summary: I counted about 40 new launches from AWS since last week – back to our normal rhythm of releases. Services teams are listening to your feedback and developing little (or big)…

  • Hacker News: An experiment of adding recommendation engine to your app using pgvector search

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    Kurt Seifried
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    Source URL: https://silk.us/blog/vector-search-ai-integration/ Source: Hacker News Title: An experiment of adding recommendation engine to your app using pgvector search Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the integration of generative AI and vector search technologies into existing applications without significant re-engineering, highlighting its ease and immediate business value. It examines…

  • Hacker News: Supercharge vector search with ColBERT rerank in PostgreSQL

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    Kurt Seifried
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    Source URL: https://blog.vectorchord.ai/supercharge-vector-search-with-colbert-rerank-in-postgresql Source: Hacker News Title: Supercharge vector search with ColBERT rerank in PostgreSQL Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses ColBERT, an innovative method for vector search that enhances search accuracy by representing text as token-level multi-vectors rather than sentence-level embeddings. This approach retains nuanced information and improves…

  • Hacker News: Tensor Product Attention Is All You Need

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.06425 Source: Hacker News Title: Tensor Product Attention Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel attention mechanism called Tensor Product Attention (TPA) designed for scaling language models efficiently. It highlights the mechanism’s ability to reduce memory overhead during inference while improving model…

  • 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…

  • Hacker News: 400x faster embeddings models using static embeddings

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    Kurt Seifried
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    Source URL: https://huggingface.co/blog/static-embeddings Source: Hacker News Title: 400x faster embeddings models using static embeddings Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This blog post discusses a new method to train static embedding models significantly faster than existing state-of-the-art models. These models are suited for various applications, including on-device and in-browser execution, and edge…

  • Hacker News: Don’t use cosine similarity carelessly

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    Kurt Seifried
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    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…

  • Cloud Blog: Unlock multimodal search at scale: Combine text & image power with Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/combine-text-image-power-with-vertex-ai/ Source: Cloud Blog Title: Unlock multimodal search at scale: Combine text & image power with Vertex AI Feedly Summary: The way users search is evolving. When searching for a product, users might type in natural-sounding language or search with images. In return, they want tailored results that are specific to their query.…