Camanchaca innovates its employee experience with real-time generative agents

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Camanchaca, a Chilean seafood exporter with a rich 58-year heritage, is renowned for its commitment to sustainable sourcing and exporting of salmon, jack mackerel, and shellfish. With a workforce of 3,800 employees, Camanchaca continuously cultivates a culture of innovation that touches every aspect of its business. This forward-thinking philosophy led to the recognition of the …

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12 days of no-cost training to learn generative AI this December

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The holiday season is upon us and 2024 is just around the corner. Generative AI has been a hot topic of conversation this year, so throughout December join us for 12 days of no-cost generative AI training to build your skills and knowledge. Give yourself the gift of learning. Check out our featured gen AI …

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Embracing Transformation: AWS and NVIDIA Forge Ahead in Generative AI and Cloud Innovation

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Amazon Web Services and NVIDIA will bring the latest generative AI technologies to enterprises worldwide. Combining AI and cloud computing, NVIDIA founder and CEO Jensen Huang joined AWS CEO Adam Selipsky Tuesday on stage at AWS re:Invent 2023 at the Venetian Expo Center in Las Vegas. Selipsky said he was “thrilled” to announce the expansion …

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Unsupervised speech-to-speech translation from monolingual data

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Posted by Eliya Nachmani, Research Scientist, and Michelle Tadmor Ramanovich, Software Engineer, Google Research Speech-to-speech translation (S2ST) is a type of machine translation that converts spoken language from one language to another. This technology has the potential to break down language barriers and facilitate communication between people from different cultures and backgrounds. Previously, we introduced …

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ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models

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Large Language Models (LLMs) with billions of parameters have drastically transformed AI applications. However, their demanding computation during inference has raised significant challenges for deployment on resource-constrained devices. Despite recent trends favoring alternative activation functions such as GELU or SiLU, known for increased computation, this study strongly advocates for reinstating ReLU activation in LLMs. We …

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Entendiendo nuestro trabajo con el NHS

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(An English-language version of this post can be read here.) Desde 2020, el uso del software de Palantir por parte del NHS (National Health Service, la entidad de prestaciones sanitarias pública del Reino Unido) en Inglaterra se ha convertido en un área de creciente interés. Aunque ya hemos compartido algunos de los aspectos más destacables de …

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Hybrid cloud examples, applications and use cases

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To keep pace with the dynamic environment of digitally-driven business, organizations continue to embrace hybrid cloud, which combines and unifies public cloud, private cloud and on-premises infrastructure, while providing orchestration, management and application portability across all three. According to the IBM Transformation Index: State of Cloud, a 2022 survey commissioned by IBM and conducted by an …

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Unsupervised speech-to-speech translation from monolingual data

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Posted by Eliya Nachmani, Research Scientist, and Michelle Tadmor Ramanovich, Software Engineer, Google Research Speech-to-speech translation (S2ST) is a type of machine translation that converts spoken language from one language to another. This technology has the potential to break down language barriers and facilitate communication between people from different cultures and backgrounds. Previously, we introduced …

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Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

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The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. However, building ML models requires significant time, effort, and specialized expertise. From data collection and cleaning to feature engineering, model building, tuning, and deployment, ML projects often take months for developers to complete. And experienced data …

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