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. Every company will be doing that,” he adds. “In

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Generative AI Artificial Inteligence Open Source ChatGPT 219

CIO

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Knowing these lessons before generative AI adoption will likely save time, improve outcomes, and reduce risks and potential costs.

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Artificial Inteligence Enterprise Generative AI Technical Review 269

CIO

AUGUST 16, 2023

Ever since OpenAI’s ChatGPT set adoption records last winter, companies of all sizes have been trying to figure out how to put some of that sweet generative AI magic to use. Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure.

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Artificial Inteligence Generative AI Open Source ChatGPT 227

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But it’s also fraught with risk.

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Insurance Artificial Inteligence Data Systems Review 83

AWS Machine Learning - AI

DECEMBER 22, 2023

These foundation models perform well with generative tasks, from crafting text and summaries, answering questions, to producing images and videos. Despite the great generalization capabilities of these models, there are often use cases where these models have to be adapted to new tasks or domains.

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Artificial Inteligence Training Metrics Off-The-Shelf 87

AWS Machine Learning - AI

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.

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Artificial Inteligence AWS Data Generative AI 83

CIO

OCTOBER 26, 2023

IT leaders are grappling with a critical question as they seek to deploy generative AI workloads today: Is it better for my business to run GenAI applications in the public cloud or on-premises? Strict data security and privacy mandates may govern if and how you work with AI services in the public cloud. And why not?

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Generative AI Artificial Inteligence Cloud Off-The-Shelf 308