Experimental News Clipping Site

Tag: Text Embedding

  • Cloud Blog: Build richer gen AI experiences using model endpoint management

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/use-model-endpoint-management-on-alloydb/ Source: Cloud Blog Title: Build richer gen AI experiences using model endpoint management Feedly Summary: Model endpoint management is available on AlloyDB, AlloyDB Omni and Cloud SQL for PostgreSQL. Model endpoint management helps developers to build new experiences using SQL and provides a flexible interface to call gen AI models running anywhere…

  • Cloud Blog: Vector similarity search for Cloud SQL for MySQL is now GA

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/cloud-sql-for-mysql-vector-storage-and-similarity-search-is-ga/ Source: Cloud Blog Title: Vector similarity search for Cloud SQL for MySQL is now GA Feedly Summary: If you used the internet today, you’ve probably already benefited from generative AI. Whether it helped you get your work done faster, research home repairs, or find the perfect gift, gen AI is transforming how…

  • Simon Willison’s Weblog: State-of-the-art text embedding via the Gemini API

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/7/gemini-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: State-of-the-art text embedding via the Gemini API Feedly Summary: State-of-the-art text embedding via the Gemini API Gemini just released their new text embedding model, with the snappy name gemini-embedding-exp-03-07. It supports 8,000 input tokens – up from 3,000 – and outputs vectors that are a lot larger…

  • Hacker News: The Best Way to Use Text Embeddings Portably Is with Parquet and Polars

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    by

    Kurt Seifried
    in

    Source URL: https://minimaxir.com/2025/02/embeddings-parquet/ Source: Hacker News Title: The Best Way to Use Text Embeddings Portably Is with Parquet and Polars Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed overview of generating and utilizing text embeddings from large language models, specifically applied to Magic: The Gathering cards. It emphasizes the…

  • Cloud Blog: Optimizing image generation pipelines on Google Cloud: A practical guide

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…

  • Cloud Blog: How retailers are accelerating AI into production with NVIDIA and Google Cloud

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/retail/how-retailers-are-accelerating-ai-with-nvidia-and-google-cloud/ Source: Cloud Blog Title: How retailers are accelerating AI into production with NVIDIA and Google Cloud Feedly Summary: Retailers have always moved quickly to connect and match the latest merchandise with customers’ needs. And the same way they carefully design every inch of their stores, the time and thought that goes into…

  • Hacker News: RWKV Language Model

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    system automation
    in

    Source URL: https://www.rwkv.com/ Source: Hacker News Title: RWKV Language Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The RWKV (RNN with LLM capabilities) presents a significant innovation in language model design by combining the advantages of recurrent neural networks (RNNs) and transformers. Its unique features, including linear time processing and lack of attention…