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Lead the GenAI revolution! Learn to use OpenAI API for NLP tasks in JavaScript with step-by-step guides, and integrate these endpoints into your React applications. Future-proof your skills!

Using OpenAI API for Natural Language Processing in JavaScript.png

nodi.tar.gz

openai js

react-app

OpenAI provides access to the GPT 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 first get an introduction to the OpenAI API and the different endpoints it offers. Then, you’ll be provided with a step-by-step guide on how to sign up for an OpenAI account and retrieve the API key. Further, you’ll be provided a hands-on guide on performing various NLP tasks using the completions endpoint of OpenAI API. These include text classification, generation, summarization, insertion, and completing incomplete content and factual responses. You’ll also be introduced to other endpoints, including editing text and converting text into embedding vectors. 

At the end of the course, you’ll get hands-on experience integrating OpenAI API endpoints into a React application. By the time you’re done with this course, you’ll be able to work with OpenAI APIs in your projects.

Using OpenAI API for Natural Language Processing in JavaScript

# Overview

The chat completions endpoint can also be used to complete unattended (incomplete) sentences. For example, if we leave a sentence half-written, the chat completions endpoint can complete the sentence provided that it has the appropriate context. In this case, the value of `temperature` is usually kept low so that the completion does not disregard the previous context.

Learn about completing incomplete content and factual responses using the chat completions endpoint and its practical use cases.

Introduction

The Completions Endpoint

Miscellaneous Endpoints

APIs Integration in React

Conclusion

Appendix

Completing Incomplete Content and Factual Responses

Overview