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Open-source AI with Hugging Face

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Julien Simon

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What you'll learn

Why open-source models are often a better fit for enterprise

Most AI enterprise use cases can be solved with open-source models or with small LLMs coupled with fine-tuning

Get started with state-of-the-art LLMs in minutes

Learn how to easily access and experiment with cutting-edge large language models without complex infrastructure

Hugging Face's open-source community

Learn how Hugging Face is supporting the open-source community as well as commercial users

Why this topic matters

In this lesson, you’ll learn how to build high-quality AI applications with open-source models while giving you more flexibility, control, and ROI than closed-model APIs. We’ll highlight the latest and greatest models and show you how to get started with them in minutes. You’ll also learn about Hugging Face's technical ecosystem from models & datasets to cloud integrations.

You'll learn from

Julien Simon

Chief Evangelist at Hugging Face

Julien is currently Chief Evangelist at Hugging Face. He previously spent 6 years at Amazon Web Services as the Global Technical Evangelist for AI & Machine Learning. Before joining AWS, Julien served for 10 years as CTO/VP Engineering in large-scale startups.

Leader at

Hugging Face
Amazon Web Services

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