Description
In this session, we will dive into the fascinating world of AI agents and highlight their key differences from traditional large language models (LLMs). While LLMs are powerful at generating text and reasoning over information, agents go one step further by interacting with external tools, APIs, and environments to accomplish complex tasks in a more autonomous way. Using smolagents, the lightweight Hugging Face framework for agentic workflows, we will explore how to design, build, and run agents in practice. Through hands-on examples, participants will learn how to orchestrate reasoning with multiple tools, extend agent capabilities, and apply them to real-world scenarios such as automation, data processing, and decision-making pipelines. This session will provide both the conceptual foundations and practical guidance needed to start leveraging agents effectively in your projects.
Instructor's Bio
Sergio Paniego Blanco
Machine Learning Engineer at Hugging Face
Sergio is a Machine Learning Engineer at Hugging Face, primarily focused on multimodality and AI agents. His interests lie at the intersection of cutting-edge AI technologies, and he is passionate about exploring the frontiers of the field. With over 8 years of experience in open-source initiatives such as Google Summer of Code, he is deeply engaged in collaborative AI development. He has also worked as a Machine Learning consultant and educator at multiple levels. Sergio holds a PhD in Artificial Intelligence.
Webinar
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1
Training "Intro to Agents Using Smolagents"
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Ai+ Training
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Training recording
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Additional information:
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