Building a Custom OpenAI Chatbot

Course

In this course, we will create a custom Q&A bot powered by OpenAI! Along the way, you'll learn how OpenAI works and how to leverage its powerful language processing capabilities to build a functional Q&A bot that can provide insightful answers to your questions and impress your friends with its knowledge. We'll start by creating an unsupervised machine-learning workflow to match the user's question to the relevant context in our dataset. We'll use that workflow to send a custom prompt that includes this context to an OpenAI text completion model. The output will be a custom response that is better aligned with our user's need for accurate data about recent events.

Intermediate
1 week
Last Updated July 12, 2024

Skills you'll learn:

OpenAI APITokenization

Prerequisites:

Basic Python

Intermediate

1 week

Last Updated July 12, 2024

Skills you'll learn:

OpenAI API • Tokenization • Prompt Engineering • Conversational AI

Prerequisites:

Basic Python

Course Lessons

Lesson 1

Welcome

In this lesson, you'll get an overview of our journey. You'll learn a bit about OpenAI's history and how we can use it. You'll also get a brief introduction to prompt engineering.

Lesson 2

Preparing a Dataset with Embeddings

In this lesson, we'll prepare our dataset to make it accessible for machine learning. We'll find the data, load it, clean it up, and use embeddings to create numeric representations of our data.

Lesson 3

Finding Relevant Data

In this lesson, we will discuss the differences between keyword and semantic searches. Then, we'll find the relevant data for our queries using cosine similarity.

Lesson 4

Querying a Completion Model with a Custom Text Prompt

In this lesson, we'll get to the magic of AI! We'll write a custom prompt that includes the most relevant parts of our dataset and use that prompt to get a customized response.

Lesson 5 • Project

Project: Build Your Own Custom Chatbot

For this project, you will use everything you learned in this course to create a custom chatbot using a dataset of your choice.

Taught By The Best

Erin Hoffman

Senior Technical Content Developer at Udacity

Erin is a data scientist and Senior Technical Content Developer at Udacity, where she leverages her background in computer science and design research to manage the development of curriculum in fields like Generative AI, Business Intelligence, Data Analysis, and more. Beyond Udacity, Erin regularly contributes to a variety of writing, research, and open source projects, including scikit-learn, the most popular ML library in use today.

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