How to use foundation models and trusted governance to manage AI workflow risk

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. Using AI for certain business tasks or without guardrails in place may also not align with an …

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Improving traffic evacuations: A case study

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Damien Pierce, Software Engineer, and John Anderson, Senior Research Director, Google Research Some cities or communities develop an evacuation plan to be used in case of an emergency. There are a number of reasons why city officials might enact their plan, a primary one being a natural disaster, such as a tornado, flood, …

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How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints

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Veriff is an identity verification platform partner for innovative growth-driven organizations, including pioneers in financial services, FinTech, crypto, gaming, mobility, and online marketplaces. They provide advanced technology that combines AI-powered automation with human feedback, deep insights, and expertise. Veriff delivers a proven infrastructure that enables their customers to have trust in the identities and personal …

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Rapidly build an application in Gradio power by a Generative AI Agent

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In our new age of low-code and no-code application development, AI has become the tool of choice for rapidly extending, powering and modernizing applications. With our ever-shifting technology landscape bringing new potential and opportunity to connect and engage with customers, or optimize and infuse insights and experiences, leading organizations are racing to build new applications …

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A method to interpret AI might not be so interpretable after all

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As autonomous systems and artificial intelligence become increasingly common in daily life, new methods are emerging to help humans check that these systems are behaving as expected. One method, called formal specifications, uses mathematical formulas that can be translated into natural-language expressions. Some researchers claim that this method can be used to spell out decisions …

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Batch calibration: Rethinking calibration for in-context learning and prompt engineering

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Posted by Han Zhou, Student Researcher, and Subhrajit Roy, Senior Research Scientist, Google Research Prompting large language models (LLMs) has become an efficient learning paradigm for adapting LLMs to a new task by conditioning on human-designed instructions. The remarkable in-context learning (ICL) ability of LLMs also leads to efficient few-shot learners that can generalize from …

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