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Implement real-time personalized recommendations using Amazon Personalize

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At a basic level, Machine Learning (ML) technology learns from data to make predictions. Businesses use their data with an ML-powered personalization service to elevate their customer experience. This approach allows businesses to use data to derive actionable insights and help grow their revenue and brand loyalty. Amazon Personalize accelerates your digital transformation with ML, …

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Accelerating generative AI around the world with new data residency guarantees

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Demand for enterprise-ready generative AI services is increasing around the world. As companies look to leverage generative AI to the fullest, many want to be able to control where their data is stored in light of growing data sovereignty and global regulatory requirements. For this reason, we’re announcing that customers using Google Cloud’s generative AI …

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Gen AI for the Genome: LLM Predicts Characteristics of COVID Variants

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A widely acclaimed large language model for genomic data has demonstrated its ability to generate gene sequences that closely resemble real-world variants of SARS-CoV-2, the virus behind COVID-19. Called GenSLMs, the model, which last year won the Gordon Bell special prize for high performance computing-based COVID-19 research, was trained on a dataset of nucleotide sequences …

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Enabling large-scale health studies for the research community

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Posted by Chintan Ghate, Software Engineer, and Diana Mincu, Research Engineer, Google Research As consumer technologies like fitness trackers and mobile phones become more widely used for health-related data collection, so does the opportunity to leverage these data pathways to study and advance our understanding of medical conditions. We have previously touched upon how our …

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How to implement enterprise resource planning (ERP)

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Once your business has decided to switch to an enterprise resource planning (ERP) software system, the next step is to implement ERP. For a business to see the benefits of an ERP adoption it must first be deployed properly and efficiently by a team that typically includes a project manager and department managers as well. …

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Enabling large-scale health studies for the research community

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Chintan Ghate, Software Engineer, and Diana Mincu, Research Engineer, Google Research As consumer technologies like fitness trackers and mobile phones become more widely used for health-related data collection, so does the opportunity to leverage these data pathways to study and advance our understanding of medical conditions. We have previously touched upon how our …

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Build trust and safety for generative AI applications with Amazon Comprehend and LangChain

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We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more. Organizations looking to use LLMs to power their applications are increasingly wary about …

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Running AI and ML workloads with the Cloud HPC Toolkit

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The convergence of high performance computing (HPC) systems and AI and machine learning workloads is transforming the way we solve complex problems. HPC systems are well-suited for AI and machine learning workloads because they offer the AI-enabled computing infrastructure and parallel processing capabilities needed to train ML workloads like large language models (LLMs) — AI …

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Responsible AI at Google Research: Context in AI Research (CAIR)

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Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine learning (ML) technologies are increasingly influential in the world around us, making it imperative that we consider the potential impacts on society and individuals in all aspects of the technology that we create. To these …

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