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.

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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.

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.

Parenting Nightmare: How AI Is Raising Your Child Behind Your Back!

Unleashing the Power of AI in Full Stack Development: Top 10 Strategies

The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper. A comprehensive and example-rich guide suitable for learners of all levels