Adding AI to your JavaScript Web Application with the ChatGPT API
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
- Format
- Instructor-led, in person or live online
What the course covers
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
Course dates
There are no public dates for this course yet. We also run it on request for teams. Contact us to arrange a date.