Experimental News Clipping Site

Tag: embeddings

  • Cloud Blog: What’s new with BigQuery — the autonomous data-to-AI platform

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-emerges-as-autonomous-data-to-ai-platform/ Source: Cloud Blog Title: What’s new with BigQuery — the autonomous data-to-AI platform Feedly Summary: Data is the fuel for AI, and organizations are racing to leverage enterprise data to build AI agents, intelligent search, and AI-powered analytics for productivity, deeper insights, and a competitive edge. To power their data clouds, tens…

  • Docker: Run Gemma 3 with Docker Model Runner: Fully Local GenAI Developer Experience

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/run-gemma-3-locally-with-docker-model-runner/ Source: Docker Title: Run Gemma 3 with Docker Model Runner: Fully Local GenAI Developer Experience Feedly Summary: Explore how to run Gemma 3 models locally using Docker Model Runner, alongside a Comment Processing System as a practical case study. AI Summary and Description: Yes Summary: The text discusses the growing importance of…

  • Cloud Blog: Google Cloud databases supercharge the AI developer experience

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/whats-new-for-google-cloud-databases-at-next25/ Source: Cloud Blog Title: Google Cloud databases supercharge the AI developer experience Feedly Summary: Generative AI continues to capture our imagination and promises to transform every industry. Its transformative potential hinges on integrating powerful models like Gemini, with the most contextually-relevant enterprise data. Google Cloud is leading this transformation, not only by…

  • Simon Willison’s Weblog: Nomic Embed Code: A State-of-the-Art Code Retriever

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/27/nomic-embed-code/ Source: Simon Willison’s Weblog Title: Nomic Embed Code: A State-of-the-Art Code Retriever Feedly Summary: Nomic Embed Code: A State-of-the-Art Code Retriever Nomic have released a new embedding model that specializes in code, based on their CoRNStack “large-scale high-quality training dataset specifically curated for code retrieval". The nomic-embed-code model is pretty large –…

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

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    Kurt Seifried
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    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
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    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…

  • Hacker News: Sharding Pgvector

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    Kurt Seifried
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    Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…

  • Hacker News: Sharding Pgvector

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    by

    Kurt Seifried
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    Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…

  • Hacker News: Deciphering language processing in the human brain through LLM representations

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    Kurt Seifried
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    Source URL: https://research.google/blog/deciphering-language-processing-in-the-human-brain-through-llm-representations/ Source: Hacker News Title: Deciphering language processing in the human brain through LLM representations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the neural mechanisms involved in language processing and their surprising alignment with the internal representations of speech recognition models like Whisper. This analysis provides insights relevant…

  • Cloud Blog: Nuro drives autonomous innovation with AlloyDB for PostgreSQL

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/nuro-drives-autonomous-innovation-with-alloydb-for-postgresql/ Source: Cloud Blog Title: Nuro drives autonomous innovation with AlloyDB for PostgreSQL Feedly Summary: Editor’s note: Nuro, a robotics company that develops technology for self-driving vehicles, needed a data platform that could handle complex data processes and support continuous AI model improvement. By migrating to AlloyDB for PostgreSQL, Nuro gained the scalability,…