Intro

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Huggingface에서 제공하는 AI Agents에 대한 open source 강의를 공부한 기록을 알아봅니다.

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허깅페이스에서 제공하는 무료 강의인 Agents Course를 수강하고 있습니다. 이번 강의를 들으면 허깅페이스에서는 아래와 같은 것을 얻을 수 있다고 합니다.

📖 Study AI Agents in theory, design, and practice.
🧑‍💻 Learn to use established AI Agent libraries such as smolagents, LlamaIndex, and LangGraph.
💾 Share your agents on the Hugging Face Hub and explore agents created by the community.
🏆 Participate in challenges where you will evaluate your agents against other students’.
🎓 Earn a certificate of completion by completing assignments. (2025.05.01까지 수강 완료시)

저는 Agent를 이용한 서비스를 만드는 것에 단기 목표가 있기 때문에 이번 강의를 수강하면서 제가 원하는 Agent 서비스에 한걸음 다가갈 수 있다고 생각합니다.

전체적인 Chapter는 다음과 같습니다.

Chapter	Topic	Description
0	Onboarding	Set you up with the tools and platforms that you will use.
1	Agent Fundamentals	Explain Tools, Thoughts, Actions, Observations, and their formats. Explain LLMs, messages, special tokens and chat templates. Show a simple use case using python functions as tools.
1.5	Bonus : Fine-tuning an LLM for function calling	Let’s use LoRa and fine-tune a model to perform function calling inside a notebook.
2	Frameworks	Understand how the fundamentals are implemented in popular libraries : smolagents, LangGraph, LLamaIndex
3	Use Cases	Let’s build some real life use cases (open to PRs 🤗 from experienced Agent builders)
4	Final Assignment	Build an agent for a selected benchmark and prove your understanding of Agents on the student leaderboard 🚀