Ai+ Training

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.