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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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Scarlett Johansson’s Voice and the Future of AI: An Unintended Standard?

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This group of women was generated by Midjourney … it’s happening! Recently, Scarlett Johansson’s disapproval of an AI-generated voice similar to hers from the movie “Her” led to the removal of the “Sky” voice from ChatGPT. This incident raises intriguing questions about the future use of her voice in AI technology. The Unintended Consequence Johansson’s …

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Escaping the Cargo Cult

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Escaping the Cargo Cult: Exchanging blind faith for real-world outcomes In his February 2024 blog post, Technology is the Problem, Palantir CTO Shyam Sankar presents a compelling argument: the stagnation in growth and progress over recent decades is largely attributable to a misalignment at every stage of the B2B SaaS value chain. Engineering, procurement, implementation, …

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How AI-powered recruiting helps Spain’s leading soccer team score

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Phrases like “striking the post” and “direct free kick outside the 18” may seem foreign if you’re not a fan of football (for Americans, see: soccer). But for a football scout, it’s the daily lexicon of the job, representing crucial language that helps assess a player’s value to a team. And now, it’s also the …

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Create a multimodal assistant with advanced RAG and Amazon Bedrock

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Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. However, despite their impressive performance in various natural language processing tasks, RAG models still face several limitations that need to be addressed. Naive RAG models face limitations such as …

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