Agents Course

Unit 0. Welcome to the course

Unit 1. Introduction to Agents

Introduction What is an Agent? Quick Quiz 1 What are LLMs? Messages and Special Tokens What are Tools? Quick Quiz 2 Understanding AI Agents through the Thought-Action-Observation Cycle Thought, Internal Reasoning and the Re-Act Approach Actions, Enabling the Agent to Engage with Its Environment Observe, Integrating Feedback to Reflect and Adapt Dummy Agent Library Let’s Create Our First Agent Using Smolagents Unit 1 Final Quiz Get Your Certificate Conclusion

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Quick Self-Check (ungraded)

What?! Another Quiz? We know, we know, … 😅 But this short, ungraded quiz is here to help you reinforce key concepts you’ve just learned.

This quiz covers Large Language Models (LLMs), message systems, and tools; essential components for understanding and building AI agents.

Q1: Which of the following best describes an AI tool?

A process that only generates text responses An executable process or external API that allows agents to perform specific tasks and interact with external environments A feature that stores agent conversations

Q2: How do AI agents use tools as a form of “acting” in an environment?

By passively waiting for user instructions By only using pre-programmed responses By asking the LLM to generate tool invocation code when appropriate and running tools on behalf of the model

Q3: What is a Large Language Model (LLM)?

A simple chatbot designed to respond with pre-defined answers A deep learning model trained on large amounts of text to understand and generate human-like language A rule-based AI that follows strict predefined commands

Q4: Which of the following best describes the role of special tokens in LLMs?

They are additional words stored in the model's vocabulary to enhance text generation quality They serve specific functions like marking the end of a sequence (EOS) or separating different message roles in chat models They are randomly inserted tokens used to improve response variability

Q5: How do AI chat models process user messages internally?

They directly interpret messages as structured commands with no transformations They convert user messages into a formatted prompt by concatenating system, user, and assistant messages They generate responses randomly based on previous conversations

Got it? Great! Now let’s dive into the complete Agent flow and start building your first AI Agent!

< > Update on GitHub

←What are Tools? Understanding AI Agents through the Thought-Action-Observation Cycle→

Quick Self-Check (ungraded) Q1: Which of the following best describes an AI tool? Q2: How do AI agents use tools as a form of “acting” in an environment? Q3: What is a Large Language Model (LLM)? Q4: Which of the following best describes the role of special tokens in LLMs? Q5: How do AI chat models process user messages internally?