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Using Generative AI to Build Generative AI

O'Reilly Media

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. Heres a quick demo of what it does.

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Introducing NYU Center for Data Science Research Groups

NYU Center for Data Science

From Minds, Brains, and Machines to MaD these cohorts of data science researchers strive to forward models and research in the growing field of AI. ML² The Machine Learning for Language (ML²) group works on machine learning methods for natural language processing (NLP) through developing cutting-edge models and engaging in research.

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Top 10 Generative AI Companies Revealed

Towards AI

Last Updated on April 21, 2024 by Editorial Team Author(s): Jennifer Wales Originally published on Towards AI. Get a closer view of the top generative AI companies making waves in 2024. They are soaring with career opportunities for certified AI professionals with the best AI certification programs.

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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business.

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Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium

AWS Machine Learning Blog

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. To get started with managed AWS Trainium on Amazon SageMaker , see Train your ML Models with AWS Trainium and Amazon SageMaker. Dr. Huan works on AI and Data Science.

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The Alignment Problem Is Not New

O'Reilly Media

should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,” according to a statement signed by more than 350 business and technical leaders, including the developers of today’s most important AI platforms. What might we learn about AI regulation from failures of corporate governance?

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AI Has an Uber Problem

O'Reilly Media

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” The capital-fueled AI land grab is of course only one axis of premature market concentration.

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