O’Reilly Releases Courses, Content, and Live Events on Large Language Models and ChatGPT

ChatGPT: Possibilities and Pitfalls live online event featuring Tim O’Reilly with leaders in artificial intelligence to take place on April 25

O’Reilly, the premier source for insight-driven learning on technology and business, announced a lineup of content, courses, and events focused on the emergence of large language models (LLMs) and ChatGPT, the artificial intelligence (AI) chatbot developed by OpenAI. Central to these resources is the ChatGPT: Possibilities and Pitfalls live event sponsored by deepset.

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. @OReillyMedia announces a lineup of content, courses, and events focused on the emergence of large language models (LLMs) and #ChatGPT, the #AI chatbot developed by @OpenAI.

The virtual event features O’Reilly founder and CEO Tim O’Reilly in discussion with Microsoft corporate vice president of search and AI Jordi Ribas and GitHub CEO Thomas Dohmke, two business leaders who have already revolutionized their products with advanced AI. Expert speakers will address the potential impacts of ChatGPT and large language models, explain how to avoid missteps as organizations look to integrate this new AI, and share actionable ways to deal with large datasets and data augmentation, various model architectures, domain adaptation, and inference challenges.

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The event schedule includes the following sessions:

• Reshaping Search with Bing—Jordi Ribas and Tim O’Reilly
• The Future of Developer AI and Copilot X—Thomas Dohmke and Tim O’Reilly
• Connecting GPT with Your Data: How to Tailor Responses to Your Use Case and Avoid Hallucination—Malte Pietsch, cofounder and CTO at deepset
• Building Applications Using Large Language Models—Matt Welsh, cofounder and CEO of Fixie.ai
• Reassessing Intelligence: Insights from Large Language Models and the Quest for General AI—Blaise Agüera y Arcas, VP and fellow at Google Research
• Revolutionizing Financial Advisory: Morgan Stanley’s Innovative Use of LLMs—David Wu, managing director at Morgan Stanley and WM head of knowledge management
• Using LLMs to Enhance Personalized Learning—O’Reilly VP of Product Adam Witwer, with Lucky Gunasekara and Andy Hsieh, cofounders of Miso.ai

The live event is free to all O’Reilly subscribers; users can register here.

“I’ve been present for—and participated in—some of the biggest technological advancements of the past four decades. Today, we are at the next inflection point — one that is perhaps the most impactful yet,” said O’Reilly. “However, we can’t properly harness what we do not understand. Learning about large language models is now vital for every business and every knowledge worker.”

On June 27, 2023, O’Reilly will present a special AI event hosted by analyst, consultant, engineer, researcher, and writer George Anadiotis, featuring Hugging Face research lead Nazneen Rajani. Titled “What’s New in AI: Large Language Model Evaluation, Robustness, and Interpretability,” the event gives users the chance to hear from leading minds in the field on topics such as generative AI, large language models, responsible AI, current regulations, and other notable developments.

For users just starting out, O’Reilly’s ChatGPT playlist contains content on the transformer architecture of GPT models, developments in generative AI, building applications with GPT-based models, and more. Additionally, O’Reilly has slated a series of live and on-demand courses covering topics related to LLMs and ChatGPT, including:

• Writing Effective Prompts for ChatGPT: April 27, 2023
• ChatGPT and GitHub Copilot in 4 Hours (Pearson): May 3, 2023
• Deploying GPT and Large Language Models (Pearson): May 10, 2023
• ChatGPT for Software Engineers: May 17, 2023
• Prompt Engineering for Generating AI Art and Text: May 18, 2023
• Natural Language Processing in 5 Weeks: Sep 5, 12, 19, and 26 & Oct 3, 2023

O’Reilly subscribers also have access to the latest report on ChatGPT, What Are ChatGPT and Its Friends?. Written by Mike Loukides, vice president of content strategy at O’Reilly, the report delves deep into the possibilities that ChatGPT and similar models offer organizations, how to move past the hype, and the essentials users need to understand in order to take full advantage of this technology.

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