This repository contains materials and exercises for AI Agents Workshop.
- Docker
- Task/Taskfile (optional, but recommended)
Learn the fundamentals through examples:
- Basic API calls to LLMs
- Structured output with PydanticAI
- Function calling (Tools)
- Chain of Thought (CoT) prompting
- Few-shot learning
- What are the agents under the hood?
In pairs, solve a practical task with the help of LLM.
.
├── introduction/ # Concepts explanations
│ ├── 1_theory.md
│ ├── 2_simple_calls.ipynb
│ ├── 3_function_calling.ipynb
│ ├── 4_structured_output.ipynb
│ ├── 5_chain_of_thought.ipynb
│ ├── 6_few_shot.ipynb
│ ├── 7_lets_loop.ipynb
│ └── introduction/ # Benchmark scripts that generated the charts
├── task/ # Task for you!
└── test/ # Test module for the task