LLM API Foundations: Let's Build a Basic Chatbot
Hosted by Jay Wengrow
In this video
What you'll learn
Get started writing code that uses an LLM under the hood
You'll dive right into to writing code that sends prompts to an LLM and processes the model's responses.
Build a functional LLM-powered chatbot
You'll create a tiny but working app that allows a user to talk with a powerful AI chatbot that talks like a human.
Manage conversation history
You'll build the ability for the chatbot to remember its entire conversation and continue the dialogue seamlessly.
Why this topic matters
If you're interested in getting started with building LLM-powered apps, or AI engineering more generally, this is the perfect starting point. You'll write Python code that interacts with an LLM, and create a mini chatbot app that carries on a seamless conversation with a user.
You'll learn from
Jay Wengrow
CEO of Actualize, Author of A Common-Sense Guide to AI Engineering
Jay Wengrow is an experienced educator and software engineer, and the author of A Common-Sense Guide to AI Engineering. He is also the founder of Actualize, a software and AI engineering education company, and specializes in making advanced technical topics approachable for professionals across industries. He also wrote the popular Common-Sense Guide to Data Structures and Algorithms book series.
Go deeper with a course
Let's Code LLM Chatbots and Agents from Scratch
Jay Wengrow
Software Engineer and Educator, Author of A Common-Sense Guide to AI Engineering