AiSkillUp.net - Course: OpenAI with Python: GPT 3/4, Dall-E, Whisper and TTS

OpenAI with Python: GPT 3/4, Dall-E, Whisper and TTS

Description
Learn GPT-3/4, DALL-E, TTS, Whisper and AI interaction for chat, image creation and audio transcription.

About Course

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.

Use GPT-3 and GPT-4 models to generate text through chats: Learn how to leverage OpenAI's powerful language models, GPT-3 and GPT-4, for creating responsive, intelligent chat interfaces. This module will cover the basics of integrating these models into chat systems, allowing for dynamic and contextually aware text generation.
Maintain the context of conversations using Roles: Understand the importance of maintaining conversational context and learn to implement 'Roles' in chat interactions. This part of the course will focus on techniques to keep track of conversational roles (like user vs. AI), ensuring coherent and context-sensitive dialogue flows.
Create high-quality, high-definition images with DALL-E 3: Dive into the world of advanced AI-driven art creation with DALL-E 3. This section teaches you how to use this state-of-the-art image generation model to create stunning visuals, exploring its capabilities in producing detailed, high-resolution images from textual descriptions.
Fill masks and create variations of images with DALL-E 2: Explore the functionalities of DALL-E 2, focusing on its image editing features such as mask-filling and image variation generation. Learn how to manipulate and transform images with AI, including changing parts of an image or generating different versions of a given picture.
Generate audio files from text with TTS: This module introduces Text-to-Speech (TTS) technologies, guiding you through the process of converting written text into spoken audio. Learn about different TTS systems and how they can be used to create natural-sounding voice outputs from any text.
Transcribe audio files with Whisper: Get hands-on experience with Whisper, a tool for transcribing spoken words into written text. This part of the course covers the basics of audio transcription, demonstrating how to accurately convert audio files into text format using AI.
Make calls to custom functions to interact with AI: Learn the advanced skill of interacting with AI systems through custom function calls. This final module will teach you how to design and integrate custom functions, enabling tailored interactions and responses from AI models in various applications.

More 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.

Requirements:

Python basic knowledge

What will you learn:

Learn How to Use the OpenAI API
Use GPT-3 and GPT-4 models to generate text through chats
Maintain the context of conversations using Roles
Create high-quality, high-definition images with DALL-E 3
Fill masks and create variations of images with DALL-E 2
Generate audio files from text with TTS
Transcribe audio files with Whisper
Make calls to custom functions to interact with AI

Who is this course for:

Anyone who wants to learn how to use the OpenAI API for Generative AI

Course Curriculum

11 sections
29 lectures
Total duration 3h 37min

Introduction 2 Lessons • 3min

Course Presentation