Adding AI to your JavaScript Web Application with the ChatGPT API
Course Description
Did you know that you can add the power of AI to your own JavaScript application by utilising the ChatGPT API? This course is designed for JavaScript Developers who want to learn how to add AI features like sentiment analysis and natural language processing to their applications to make them smarter and more interactive. We’ll start with the basics, such as setting up and making simple API requests, and then gradually explore more advanced topics like analysing usernames for inappropriate content, doing sentiment analysis on comments and analysing a log file for suspicious activity. Continuing on we will do more advanced tasks like specifying how the responses will be formatted using structured data and getting our own information into the model through the use of functions. By the end of the course, participants will have a solid understanding of how to leverage the OpenAI models to create smarter and more interactive JavaScript applications.
Duration: 2 days
Who should attend
This course is for Web Application Developers and will use JavaScript RESTful API calls to interact with the OpenAI API. The course can be customised for various technology stacks including Angular, React, Node.js and ASP.NET. No experience with AI is assumed. Access to the OpenAI API is a requirement for this course.
Introduction
Introduction to AI Concepts Understanding the limitations of AI Web Application development environment Understanding a RESTful Web Service Making a call Understanding the JSON response
Getting Started
Registering for OpenAI API Getting API key API Playground Hello World API Call in playground
Choosing a model
What models are available Monitoring Usage Specifying max_tokens Checking availability
OpenAI Requests In JavaScript
Install OpenAI dependencies Making a call Parts of a call - model, temperature, max_tokens, top_p, frequency_penalty, presence_penalty API Response Parsing a response
Some Practical Examples
Vetting usernames Sentiment analysis of comments Scanning a server log file for suspicious activity
Structured Outputs
JSON mode Adding a response_format Utilising responses
API Functions
Providing your information to the API using functions Providing a function description Understanding the "function" response Calling the function Getting a response Simple example
More on API Functions
Providing more than one function Describing multiple functions to assist API in choosing which one to call More complex example