Introduction to LLM Agents with LangChain

Join us for an Introduction to LLM Agents with LangChain

LLM Agents are one of the most powerful tools in the recent developments of GenAI. LLM Agents are systems that can use an LLM to reason through a problem. Moreover, they have the capability to use Tools and well-defined workflows to execute tasks. Usually, Tools are APIs that an Agent uses together with an LLM to generate accurate answers and reasoning. With this, Agents can perform various tasks, such as answering questions, generating text, or even engaging in conversation using knowledge from LLMs and APIs at the same time. In this beginners workshop, we'll dive into the theory behind what agents are, how they function, and the scenarios in which they can be effectively used.

We'll discuss the fundamental principles that govern agent behavior, including their ability to process and generate natural language and use Tools (APIs). Following the theoretical groundwork, we'll transition into hands-on exercises and practical examples using LangChain.

You'll have the opportunity to explore the capabilities of agents in real-world contexts. These exercises will help solidify your understanding of how agents operate and their potential benefits in various domains. You will also have the option to build your own agent, tailored to your specific interests or needs. Join us at this workshop if you are eager to broaden your understanding of the applications of LLMs and develop practical skills in building Gen AI systems. We are excited to share our knowledge on LLM Agents and looking forward to seeing you at the workshop.

Timeline:
00:00:00 - Stream Setup
00:01:08 - Introduction
00:06:40 - What LLMs can do
00:10:42 - Intro to LLM Agents
00:27:00 - Coding Exercise Use Case and Introduction
00:31:49 - Coding Exercise 1: Tools (Part 1)
00:40:10 - Google Colab Setup
00:43:32 - Coding Exercise 1: Tools (Part 2)
00:44:23 - Set up Privatebin
00:45:40 - Coding Exercise 1: Tools (Part 3)
01:05:23 - Solution Exercise 1: Tools
01:10:25 - Break
01:25:00 - Intro Exercise 2: Agents (Sound Issue)
01:27:44 - Intro Exercise 2: Agents (Sound Issue Resolved)
01:32:37 - Exercise 2: Agents
01:55:31 - Solution Exercise 2: Agents
02:02:50 - Outro and Announcements

GitHub Repo

Speakers:
Maria Bader

Maria Bader is a Data Scientist, who is specialised in both traditional machine learning and generative AI techniques. At Mollie, she is currently contributing to the development of MollieGPT, the company's customer-facing chatbot. Her background as a researcher in physics fuelled Maria's love for unraveling hidden details in data and has equipped her with the unique ability to approach complex problems with a scientific mindset.

Ana Chaloska

Ana is a Data Scientist at Amsterdam-based fintech Mollie. She works with ML and Gen AI to create solutions for automating and optimizing payment processes and customer monitoring. Ana enjoys exploring novel data approaches and practically implementing them to solve business challenges.