Tag: embedding model
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Cloud Blog: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/new-proprietary-models-vertex-model-garden/ Source: Cloud Blog Title: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI Feedly Summary: Building the best AI applications requires both the freedom to choose the most powerful, specialized model for the task at hand, and a platform that can handle them all. This flexibility is core…
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Cloud Blog: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library
Source URL: https://cloud.google.com/blog/products/data-analytics/gemini-and-vertex-ai-for-spark-with-dataproc-ml-library/ Source: Cloud Blog Title: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library Feedly Summary: Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models,…
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Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…
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Cloud Blog: BigQuery under the hood: Scalability, reliability and usability enhancements for gen AI inference
Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-enhancements-to-boost-gen-ai-inference/ Source: Cloud Blog Title: BigQuery under the hood: Scalability, reliability and usability enhancements for gen AI inference Feedly Summary: People often think of BigQuery in the context of data warehousing and analytics, but it is a crucial part of the AI ecosystem as well. And today, we’re excited to share significant performance…
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Cloud Blog: Gemini and OSS text embeddings are now in BigQuery ML
Source URL: https://cloud.google.com/blog/products/data-analytics/use-gemini-and-open-source-text-embedding-models-in-bigquery/ Source: Cloud Blog Title: Gemini and OSS text embeddings are now in BigQuery ML Feedly Summary: High-quality text embeddings are the engine for modern AI applications like semantic search, classification, and retrieval-augmented generation (RAG). But when it comes to picking a model to generate these embeddings, we know one size doesn’t fit…
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Cloud Blog: Announcing partner-built AI security innovations on Google Cloud
Source URL: https://cloud.google.com/blog/topics/partners/announcing-partner-built-ai-security-innovations-on-google-cloud/ Source: Cloud Blog Title: Announcing partner-built AI security innovations on Google Cloud Feedly Summary: Securing AI systems is a fundamental requirement for business continuity and customer trust, and Google Cloud is at the forefront of driving secure AI innovations and working with partners to meet the evolving needs of customers. Our secure-by-design…
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Simon Willison’s Weblog: Introducing EmbeddingGemma
Source URL: https://simonwillison.net/2025/Sep/4/embedding-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Introducing EmbeddingGemma Feedly Summary: Introducing EmbeddingGemma Brand new open weights (under the slightly janky Gemma license) 308M parameter embedding model from Google: Based on the Gemma 3 architecture, EmbeddingGemma is trained on 100+ languages and is small enough to run on less than 200MB of RAM with…
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Cloud Blog: From query to cart: Inside Target’s search bar overhaul with AlloyDB AI
Source URL: https://cloud.google.com/blog/topics/retail/from-query-to-cart-inside-targets-search-bar-overhaul-with-alloydb-ai/ Source: Cloud Blog Title: From query to cart: Inside Target’s search bar overhaul with AlloyDB AI Feedly Summary: Editor’s note: Target set out to modernize its digital search experience to better match guest expectations and support more intuitive discovery across millions of products. To meet that challenge, they rebuilt their platform with…
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AWS News Blog: TwelveLabs video understanding models are now available in Amazon Bedrock
Source URL: https://aws.amazon.com/blogs/aws/twelvelabs-video-understanding-models-are-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: TwelveLabs video understanding models are now available in Amazon Bedrock Feedly Summary: TwelveLabs video understanding models are now available on Amazon Bedrock and enable customers to search through videos, classify scenes, summarize content, and extract insights with precision and reliability. AI Summary and Description: Yes Summary: TwelveLabs…
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AWS News Blog: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview)
Source URL: https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/ Source: AWS News Blog Title: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview) Feedly Summary: Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches…