Watsonx: a game changer for embedding generative AI into commercial solutions

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IBM watsonx is changing the game for enterprises of all shapes and sizes, making it easy for them to embed generative AI into their operations. This week, the CEO of WellnessWits, an IBM Business Partner, announced they embed watsonx in their app to help patients ask questions about chronic disease and more easily schedule appointments …

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Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning

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AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. It plays a crucial role in every model’s development process …

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Generative AI use cases to inspire your Startup or Small Business

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Everyday, more and more small businesses and startups are leveraging generative AI for their internal and customer-facing needs, with over 70% of gen AI’s billion dollar-unicorns using Google Cloud. As the technology continues moving at a rapid pace, with almost daily announcements of products and features, businesses are discovering new use cases and ways to …

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What Is Retrieval-Augmented Generation?

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To understand the latest advance in generative AI, imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute —  requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases …

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Scaling multimodal understanding to long videos

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Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all provide varied and complementary information about …

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MARRS: Multimodal Reference Resolution System

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*= All authors listed contributed equally to this work Successfully handling context is essential for any dialog understanding task. This context maybe be conversational (relying on previous user queries or system responses), visual (relying on what the user sees, for example, on their screen), or background (based on signals such as a ringing alarm or …

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IBM named a Leader in The Forrester Wave™: Digital Process Automation Software, Q4 2023

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Forrester Research just released “The Forrester Wave™: Digital Process Automation Software, Q4 2023: The 15 Providers That Matter Most And How They Stack Up” by Craig Le Clair with Glenn O’Donnell, Renee Taylor-Huot, Lok Sze Sung, Audrey Lynch, and Kara Hartig and IBM is proud to be recognized as a Leader. IBM named a Leader …

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Scaling multimodal understanding to long videos

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all provide varied and complementary information about …

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Flag harmful content using Amazon Comprehend toxicity detection

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Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners to provide a safe and inclusive environment where they can freely consume content and contribute. Content moderators are often employed to review user-generated content and check that it’s safe and compliant …

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