O’Reilly Offers Learning Resources on Large Language Models and ChatGPT

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O’Reilly, the premier source for insights-driven learning on tech and business, has announced a new lineup of content, events, and courses dedicated to the latest developments in Artificial Intelligence (AI). A particular focus of these resources is the online event, “ChatGPT: Possibilities and Pitfalls”, sponsored by deepset and featuring O’Reilly founder and CEO Tim O’Reilly. The event will be held virtually on April 25th, and will address potential impacts of ChatGPT and large language models, as well as how to effectively integrate AI while avoiding unnecessary pitfalls.

Speakers include Jordi Ribas, corporate vice president of search and AI at Microsoft, and Thomas Dohmke, CEO of GitHub. They will discuss ways in which businesses can use AI to revolutionize their products, such as with large datasets, data augmentation, various model architectures, domain adaptation, and inference challenges.

On June 27th, 2023, O’Reilly will also hold a special AI event hosted by George Anadiotis, with Hugging Face’s research lead, Nazneen Rajani, as the speaker. This event will touch on subjects such as Generative AI, responsible AI, and current regulations. Courses and videos from the O’Reilly platform are available to subscribers in the ChatGPT playlist, and the latest report, “What Are ChatGPT and Its Frieends?” written by Mike Loukides, is also available to those with a subscription.

O’Reilly, founded in 1978, is an award-winning provider of insight-driven learning on technology and business. It offers an ever-growing library of content, courses, and events designed to help companies succeed. Additionally, flexible plans with custom pricing and options for enterprises, individuals and universities make for an ideal learning environment for users.

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Tim O’Reilly, founder and CEO of O’Reilly, asserted that this latest development in technology is perhaps the most impactful yet. He encourages knowledge workers to study the advancements of large language models in order to best harness the potential they offer.

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