Introduction to LLM-based agents in Python
DataScience@UL-FRI Workshop
Summary
The workshop offers a concise introduction to LLM-based agents. We will be exploring key concepts such as reasoning, tool use, state management and retrieval-augmented generation. We will start with some essential theory and look at practical implementation examples. Finally, we will put these ideas together by building a simple agent that combines these core concepts. Prerequisite: Basic familiarity with language models.
Syllabus
- Introduction to LLMs and agents
- Getting familiar with the environment: LLMs in Python & Google Colab
- Exploring the key agentic concepts & practical implementation
- Putting it all together: building an agent
Instructor
Matej Klemen is a researcher and (finishing) PhD student at University of Ljubljana. His research focuses on knowledge injection and inspection methods for language models, as well as their adaptation for various practical applications.
Attendee equipment prerequisites
Laptop with internet access - the notebooks will be runnable on online environments such as Google Colab.
Access to the materials (code and instructions) will be provided before the workshop.
DataScience@UL-FRI Workshop
Summary
The workshop offers a concise introduction to LLM-based agents. We will be exploring key concepts such as reasoning, tool use, state management and retrieval-augmented generation. We will start with some essential theory and look at practical implementation examples. Finally, we will put these ideas together by building a simple agent that combines these core concepts. Prerequisite: Basic familiarity with language models.
Syllabus
- Introduction to LLMs and agents
- Getting familiar with the environment: LLMs in Python & Google Colab
- Exploring the key agentic concepts & practical implementation
- Putting it all together: building an agent
Instructor
Matej Klemen is a researcher and (finishing) PhD student at University of Ljubljana. His research focuses on knowledge injection and inspection methods for language models, as well as their adaptation for various practical applications.
Attendee equipment prerequisites
Laptop with internet access - the notebooks will be runnable on online environments such as Google Colab.
Access to the materials (code and instructions) will be provided before the workshop.
Good to know
Highlights
- 3 hours
- In person
Location
Lecture room 3 at UL-FRI, Večna pot 113, Ljubljana
Večna pot 113
1000 Ljubljana
How do you want to get there?
