Chod Matrix > IT & Software > Other IT & Software > Mastering OpenAI Python APIs: Unleash ChatGPT and GPT4

4.67 out of 5

1411 reviews on Udemy

Mastering OpenAI Python APIs: Unleash ChatGPT and GPT4

Recorded with GPT-4! ChatGPT API, Whisper, Embeddings, DALL-E, and Tons of Projects!

Instructor:

Colt Steele

17,059 students enrolled

English [Auto] More

Master OpenAI's GPT-4 and its text completion capabilities

Understand GPT parameters to fine-tune the model's performance

Write, analyze, and debug code in any language using GPT-4

Structure and refine GPT's output for consistency and clarity

Customize GPT-4 to address specific use cases and unique requirements

Generate and edit images using DALL-E 2

Employ text embeddings for searching, classifying, and understanding text

Build an embedding-powered recommendation algorithm

Use Whisper to translate and transcribe audio files

Unleash the Power of AI: Master OpenAI’s APIs, including GPT-4, DALL-E, and Whisper in this Comprehensive and Hands-On Course. This is a brand new course, recorded with GPT-4!

Step into the world of artificial intelligence and discover how to harness OpenAI’s cutting-edge APIs, including GPT3, GPT-3.5, GPT4, DALL-E, and Whisper, to create groundbreaking applications and solutions. This immersive, project-driven course is designed for learners of all backgrounds and skill levels, providing a solid foundation in AI-driven development.

In this comprehensive course, you will:

Develop a deep understanding of OpenAI’s generative models and their potential applications
Master GPT-4 for natural language processing, including text generation, summarization, translation, and more
Use GPT-4 to debug code, improve code, and even write code from scratch
Generate visually stunning images and artwork using DALL-E based on textual prompts
Convert spoken audio into accurate transcriptions and translations with the power of Whisper
Use AI Embeddings to distill, index, search, and compare text, unveiling the geometric power for comparing words, paragraphs, and documents

Real-World Projects for Practical Experience:

Create a dynamic Q&A Bot using GPT-4
Create a visual color palette search engine with GPT-4
Write an interactive code reviewing assistant with GPT-4
Create an AI-powered Spotify playlist generator
Analyze the sentiment of Reddit comments using GPT-4
Summarize books of any size into a couple of paragraphs
Create your own interactive, infinite Choose Your Own Adventure application with DALL-E and GPT-4
Generate an Emedding-Powered movie recommendation algorithm

Throughout the course, you will engage in hands-on projects and real-world examples, allowing you to immediately apply your newly-acquired knowledge and skills. We also delve into:

Best practices for prompt engineering, tokenization, and temperature settings
Strategies for optimizing API performance, error handling, and resource management
The ethical considerations and challenges associated with AI-driven development

Whether you’re a software developer, data scientist, or an AI enthusiast, this course will equip you with the expertise to integrate OpenAI’s APIs into your projects and create innovative AI-powered solutions.

Embark on your AI journey and transform your skills with this comprehensive and engaging course. Enroll today and start unlocking the limitless potential of OpenAI’s GPT-4, DALL-E, and Whisper APIs!

Introduction

Welcome & Course Overview

Getting Access To Our Discord Community

A Brief History of OpenAI

Let's Talk About GPT

OPTIONAL: The Transformer Architecture

Signing Up For An Account

Getting The Course Code

Getting The Course Slides

Getting Started

Install Requirements

The Great OpenAI 1.x Upgrade (Important)

Make sure you're using the right version of openai until the course is upgraded!

Our First Completion Request

For Windows Users: Editing Text Files

Hiding Our API Key

Understanding Tokens

max_tokens

Stop Sequences

N and Echo

The Different Completion Models

Comparing Model Performance and Pricing

Prompt Engineering

The Elements of a Good Prompt

Controlling The Output Format

Summarization Prompts

Data Extraction Prompts

Sentiment Analysis Prompts

Zero-Shot Vs. Few-Shot Prompting

"Let's Think Step By Step" Prompting

Text Transformation Prompts

Color Palette Generator Project

Introducing The Color Palette Project

Color Rendering in Colaboratory

Writing The Color Palette Generator Prompt

Writing a Color-Swatch Rendering Function

Setting Up The Flask Server

Integrating OpenAI With Server

Writing the Palette Endpoint

Creating The Form

Rending The Colors In The Browser

Copy and Paste Functionality

Styling The Color Blocks

Styling The Form

Refactoring Our Front-End Code

Important API Parameters

Temperature

Understanding Top P

Frequency Penalty

Presence Penalty

Streaming Responses

The Chat API & GPT-4

Introducing The Chat API

Our First Chat Request

Important Note On Pricing!

Prompting With Properly Formatted Messages

Note on GPT-3.5-Turbo Versions

Rewriting a Completion Prompt In Chat Format

Chat API Parameters

Building A GPT-4 Chatbot

Introducing Our Chatbot Project

Writing The Basic Chatbot Structure

Persisting Messages Across Requests

Adding Optional Personalities

Colorizing The Chatbot Output

Working With GPT-4 And Code

Asking GPT-4 To Explain Code

Calculating Time Complexity With GPT-4

Translating JS To Python With GPT-4

Fixing Code Bugs With GPT-4

Generating Code From Scratch With GPT-4

Cost Estimation With TikToken

Counting Tokens With TikToken

Counting GPT-4 Message Tokens

GPT-4 Automatic Code Reviewer

Introducing The Basic Code Reviewer

Building The Basic Code Reviewer Pt 1

Building The Basic Code Reviewer Pt 2

Introducing The Interactive Code Reviewer

Interactive Code Reviewer Prompt

Interactive Code Reviewer Walkthrough

GPT-4 AI Spotify Playlist Generator Project

Introducing The Spotify Project

Writing The Playlist Generating Prompt

Finishing The Playlist Prompt

Getting Spotify Developer Credentials

Spotify Authentication Via Python

Searching For Spotify Tracks Via Python

Creating Spotify Playlists Programmatically

Adding in OpenAI

Accepting Command Line Arguments

Overview of the Polished Solution

Embeddings

Requirements

Introducing Embeddings

Generating a Single Embedding

Introducing The Movie Embedding Visualization

Getting our Movie Data

Getting Our Movie Data Ready

Add your Tenacity Import

Generating Embeddings for 5000 Movies

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

4.7

4.7 out of 5

1411 Ratings