LlamaIndex: How to use LLMs to Interface with Multiple Data Sources

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Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn about the key technologies that enable Generative AI practitioners like you to build complex LLM applications. Specifically, we’ll deep dive on “data frameworks” like LlamaIndex, and we’ll demonstrate how to create state-of-the-art hierarchical indexes from different data sources. During the event, we will also show you how another commonly known LLM Ops framework (LangChain) underlies much of the functionality of LlamaIndex. All demo code will be provided via GitHub links during and after the event!

Speakers:
Dr. Greg Loughnane is the Founder of the Machine Learning Makerspace. Previously, he has worked as a product manager, university professor, AI consultant, and ML researcher. Since 2021 he has built and led industry-leading Machine Learning & AI bootcamp programs, and is currently focused on staying out ahead of Generative AI and helping other humans do the same.
Chris Alexiuk, is an Instructor at FourthBrain, where he plays key roles in curriculum development, delivering live in-classroom demonstrations, and one-on-one student support and career coaching. During the day, he’s a Founding Machine Learning Engineer at Ox. He is also a solo YouTube creator who builds weekly with the latest and greatest Generative AI and LLM tools.
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I love the llama-index abstractions. Great, comprehensive tutorial!

kevon