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From data chaos to data clarity: How Tamr’s Data Products leverage Google generative AI

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Enterprises of all sizes recognize the value of having accurate, complete, and up-to-date views of their business and as a result have invested heavily in their data strategy and infrastructure. With the recent advances in generative AI, the urgency for high-quality data is only increasing. However, many organizations have found that as their data footprint …

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Enhance your data security posture with a no-code approach to application-level encryption

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Data is the lifeblood of every organization. As your organization’s data footprint expands across the clouds and between your own business lines to drive value, it is essential to secure data at all stages of the cloud adoption and throughout the data lifecycle. While there are different mechanisms available to encrypt data throughout its lifecycle …

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Accelerate Mixtral 8x7B pre-training with expert parallelism on Amazon SageMaker

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Mixture of Experts (MoE) architectures for large language models (LLMs) have recently gained popularity due to their ability to increase model capacity and computational efficiency compared to fully dense models. By utilizing sparse expert subnetworks that process different subsets of tokens, MoE models can effectively increase the number of parameters while requiring less computation per …

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Unlock the business impact of gen AI with new Generative AI Ops services

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Google Cloud customers are increasingly moving their generative AI workloads from proof-of-concept into production, and are now seeing real-world business impact from their AI investments. Many of these customers have worked with Google Cloud Consulting to apply AI in important and helpful ways. For example, Bristol Myers Squibb developed a new AI-powered interface to help …

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NVIDIA Expands Collaboration With Microsoft to Help Developers Build, Deploy AI Applications Faster

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If optimized AI workflows are like a perfectly tuned orchestra — where each component, from hardware infrastructure to software libraries, hits exactly the right note — then the long-standing harmony between NVIDIA and Microsoft is music to developers’ ears. The latest AI models developed by Microsoft, including the Phi-3 family of small language models, are …

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Mapping Our Audience: A Look at Where AI Blog Readers Come From

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At the AI Blog, we are constantly amazed by the diversity and reach of our readership. To get a clearer picture of where our visitors are coming from, we’ve analyzed the data and mapped out the locations of our readers across North America. This was done with GPT-4o. The results are fascinating and show a …

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ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading

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Much of early literacy education happens at home with caretakers reading books to young children. Prior research demonstrates how having dialogue with children during co-reading can develop critical reading readiness skills, but most adult readers are unsure if and how to lead effective conversations. We present ContextQ, a tablet-based reading application to unobtrusively present auto-generated …

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Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

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In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task. Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. One of the main advantages of high-quality …

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Cloud SQL: Rapid prototyping of AI-powered apps with Vertex AI

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Developers seeking to leverage the power of machine learning (ML) on their PostgreSQL data often find themselves grappling with complex integrations and steep learning curves. Cloud SQL for PostgreSQL now bridges this gap, allowing you to tap into cutting-edge ML models and vector generation techniques offered by Vertex AI, directly within your SQL queries. Now, …

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