Introduction to the Course

Natural language processing (NLP) is the process of extracting meaningful information from text. As consumers rely more and more on search engines and technical software programs to answer their questions, the demand for effective and scalable NLP solutions has increased immensely. OpenAI provides access to the GPT-3 model, which can perform several operations for NLP-related tasks such as summarization, classification, text completion, text insertion, and more. In this course, you’ll learn about the various endpoints of the OpenAI API and how they can be used to accomplish certain NLP tasks.

What is an API?

An application programming interface (API) is a software gateway that allows different software components to communicate with each other. An API helps expose the capabilities of an application to the outer world, allowing for programmatic access to its data.

Consider the case of an application that allows performing natural language processing tasks on the provided input. Building and exposing an API for this application will allow others to programmatically perform NLP operations such as classification and summarization on the provided text.

Prerequisites

This course assumes that readers have:

• Basic understanding of APIs.
• Basic knowledge of JavaScript and React.
• Basic knowledge of ML and NLP concepts.

Intended audience

This course is intended for the following types of learners:

• A beginner who wants to start with machine learning (ML) APIs.
• A learner who has some knowledge of different NLP tasks and wants to explore the OpenAI API for NLP tasks.
• A professional who has already worked with different NLP models and wants to integrate the OpenAI API into their project.