This tutorial is part of my book "OpenAI GPT For Python Developers".

The goal of this book is to provide a step-by-step guide to using GPT-3 in your projects through this API but not only - many other tools and models built by OpenAI such as Whisper (an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data), CLIP (Contrastive Language-Image Pre-Training), a neural network trained on a variety of (image, text) pairs and DALL·E 2, a new AI system that can create realistic images and art from a description in natural language.

Explore the fascinating world of Artificial Intelligence and solve real-world problems!

In this practical guide, you will build intelligent real-world applications using GPT-3, DALL-E, Whisper, CLIP, and more tools from the OpenAI and ML ecosystem.

Rest assured, you don't need to be a data scientist or machine learning engineer to follow this guide.

Every week, we share the most popular articles, tutorials, and resources from FAUN Topics about Programming, DevOps, DevSecOps, Cloud Native, Cloud Computing, and Blockchain.

If you want to learn more about FAUN Topics (our weekly newsletters), join us here.

FAUN is glad to announce a partnership with ContainerDay Security.

We're glad to share with you the latest projects we've been working on recently!

ChatGPT may cost up to $3M per month!

A curated list of awesome ChatGPT resources, libraries, SDKs, APIs, and more.

We are excited to announce the imminent launch of Kala (AI/ML Weekly), the 13th newsletter in our series of developer-focused newsletters.