GPT and DALL-E: Create your ChatGPT Clone with Python

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GPT and DALL-E: Create your ChatGPT Clone with Python
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素材介绍

GPT and DALL-E: Create your ChatGPT Clone with Python
Published 1/2023



Created by Fernando Amaral



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch



Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 19m ) | Size: 576 MB



A practical course where you will learn to use the GPT and DALL-E models and create your own ChatGPT!



What you'll learn



Use the OpenAI API to use the GPT models



Create Images link DALL-E with Python



Create your own Python Class for GPT



Create a "GPT like" application, with front-end and back-end



Requirements



Python basic knowledge



Description



This is a 100% hands-on course. All the code is available for you to download.ChatGPT was one of the biggest technological highlights in 2022, reaching 1 million users in one week. The Artificial Intelligence models of the GPT group are based on a technique known as Transformers, which are derived from Deep Neural Networks specialized in Natural Language Processing. Its application comes from 2017 and has brought many innovations to the field of Artificial Intelligence. DALL-E, on the other hand, are models for producing images from text, created and maintained by the same company.In this course, you will become an expert in creating Python aplication usen models based on GPT and DALL-E. Among other things, you will study:How to create a clone of ChatGPT in Python, with front-end and back-endKnow the OpenAI API and its implementation in PythonCreate your own Python ClassLearn to use different GPT models in PythonUse the DALL-E API with PythonLearning to create different types of images, with different variations, textures, etc.Source code availableMore About GPT:GPT stands for "Generative Pre-trained Transformer." It is a type of language model developed by OpenAI that uses deep learning to generate human-like text. GPT-3 is the third version of the model, which has been trained on a massive amount of text data and is capable of generating highly coherent and contextually appropriate text. It can be fine-tuned for various natural language processing tasks such as language translation, text summarization, and question answering.Have a Nice Course!



Who this course is for



Anyone who wants to learn how to create their own applications using GPT



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