CIO
MAY 10, 2024
The bill does not limit AI’s definition to any specific area, such as generative AI, large language models (LLMs), or machine learning. Governor Polis appreciates the leadership of Sen. Various state governments, federal governments, and foreign governments are tripping over themselves to regulate AI,” he said.
CIO
JULY 14, 2023
Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. Since the release of ChatGPT last November, interest in generative AI has skyrocketed.
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CIO
MARCH 7, 2023
Vince Kellen understands the well-documented limitations of ChatGPT, DALL-E and other generative AI technologies — that answers may not be truthful, generated images may lack compositional integrity, and outputs may be biased — but he’s moving ahead anyway. Generative AI can facilitate that.
CIO
SEPTEMBER 7, 2023
The speed at which artificial intelligence (AI)—and particularly generative AI (GenAI)—is upending everyday life and entire industries is staggering. Keeping our AI approach interpretable and managing bias becomes crucial. Artificial Intelligence
CIO
AUGUST 7, 2023
Hardly a day goes by without some new business-busting development on generative AI surfacing in the media. And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%.
AWS Machine Learning - AI
APRIL 16, 2024
Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output.
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.
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