Mô tả

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!

Bạn sẽ học được gì

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

Yêu cầu

  • Just some beginner Python experience. That's it!

Nội dung khoá học

18 sections

Introduction

10 lectures
Welcome & Course Overview
11:02
Getting Access To Our Discord Community
00:19
A Brief History of OpenAI
05:57
Let's Talk About GPT
06:31
OPTIONAL: The Transformer Architecture
11:24
Signing Up For An Account
03:47
Important Course Update - DO NOT SKIP (please)
02:38
CHANGELOG - DO NOT SKIP (please)
00:53
Getting The Course Code
00:49
Getting The Course Slides
00:08

Getting Started

11 lectures
Install Requirements
00:19
The Great OpenAI 1.x Upgrade (Important)
00:22
Our First Completion Request
08:06
For Windows Users: Editing Text Files
00:15
Hiding Our API Key
06:07
Understanding Tokens
03:07
max_tokens
06:20
Stop Sequences
10:08
N and Echo
09:26
The Different Completion Models
10:09
Comparing Model Performance and Pricing
05:36

Prompt Engineering

8 lectures
The Elements of a Good Prompt
10:35
Controlling The Output Format
07:33
Summarization Prompts
03:33
Data Extraction Prompts
03:05
Sentiment Analysis Prompts
03:26
Zero-Shot Vs. Few-Shot Prompting
04:46
"Let's Think Step By Step" Prompting
03:30
Text Transformation Prompts
05:03

Color Palette Generator Project

13 lectures
Introducing The Color Palette Project
03:56
Color Rendering in Colaboratory
00:16
Writing The Color Palette Generator Prompt
08:43
Writing a Color-Swatch Rendering Function
11:30
Setting Up The Flask Server
06:02
Integrating OpenAI With Server
08:13
Writing the Palette Endpoint
08:42
Creating The Form
09:45
Rending The Colors In The Browser
06:23
Copy and Paste Functionality
06:19
Styling The Color Blocks
06:41
Styling The Form
07:13
Refactoring Our Front-End Code
07:03

Important API Parameters

5 lectures
Temperature
11:50
Understanding Top P
09:06
Frequency Penalty
10:02
Presence Penalty
04:53
Streaming Responses
06:34

The Chat API & GPT-4

7 lectures
Introducing The Chat API
03:35
Our First Chat Request
05:55
Important Note On Pricing!
02:12
Prompting With Properly Formatted Messages
08:17
Note on GPT-3.5-Turbo Versions
01:44
Rewriting a Completion Prompt In Chat Format
08:24
Chat API Parameters
05:06

Building A GPT-4 Chatbot

5 lectures
Introducing Our Chatbot Project
02:28
Writing The Basic Chatbot Structure
07:52
Persisting Messages Across Requests
08:45
Adding Optional Personalities
09:20
Colorizing The Chatbot Output
05:27

Working With GPT-4 And Code

5 lectures
Asking GPT-4 To Explain Code
06:07
Calculating Time Complexity With GPT-4
07:09
Translating JS To Python With GPT-4
06:10
Fixing Code Bugs With GPT-4
06:29
Generating Code From Scratch With GPT-4
06:16

Cost Estimation With TikToken

2 lectures
Counting Tokens With TikToken
09:09
Counting GPT-4 Message Tokens
07:09

GPT-4 Automatic Code Reviewer

6 lectures
Introducing The Basic Code Reviewer
04:07
Building The Basic Code Reviewer Pt 1
08:25
Building The Basic Code Reviewer Pt 2
10:20
Introducing The Interactive Code Reviewer
07:44
Interactive Code Reviewer Prompt
12:59
Interactive Code Reviewer Walkthrough
12:03

GPT-4 AI Spotify Playlist Generator Project

10 lectures
Introducing The Spotify Project
04:39
Writing The Playlist Generating Prompt
12:10
Finishing The Playlist Prompt
05:37
Getting Spotify Developer Credentials
03:38
Spotify Authentication Via Python
07:30
Searching For Spotify Tracks Via Python
05:32
Creating Spotify Playlists Programmatically
04:51
Adding in OpenAI
06:45
Accepting Command Line Arguments
06:25
Overview of the Polished Solution
05:19

Embeddings

10 lectures
Requirements
00:13
Introducing Embeddings
02:38
Generating a Single Embedding
03:49
Introducing The Movie Embedding Visualization
04:19
Getting our Movie Data
00:05
Getting Our Movie Data Ready
04:38
Add your Tenacity Import
00:11
Generating Embeddings for 5000 Movies
12:07
Visualizing Our Embeddings With Atlas
09:33
Recommending Movies Using Our Embeddings
16:11

Using Embeddings To Enhance GPT-4

3 lectures
Expanding GPT-4 "Knowledge" With Embeddings
08:02
Gathering Our Embeddings
11:35
Implementing Q&A With Embeddings & GPT-4
09:07

Sentiment Analysis Project

4 lectures
Introducing The Reddit Sentiment Analysis Project
04:58
Collecting Comments From Reddit
10:09
Analyzing Sentiment In The Comments
11:47
Plotting The Results
05:56

Book Summarizer Project

6 lectures
Introducing The Book Summarizer
07:23
Preparing Book Text For Summarization
07:15
Context Window Math
08:34
Summarization Logic
13:43
Caching Results
04:54
Performing a "Meta-Summary" With GPT-4
07:55

The DALL-E API

6 lectures
Intro To DALL-E
03:45
Making a DALL-E Request
08:03
Saving DALL-E Images
12:49
Alternative Approach To Saving Images
07:37
Requesting Image Variations
08:23
DALL-E Image Edits
05:08

Stable Diffusion & Choose Your Own Adventure App

5 lectures
Introducing Stability.AI and Stable Diffusion
04:55
Using the Stability SDK
07:56
Introducing The Choose Your Own Adventure Project
05:33
GPT-4 CYOA Text Generation
09:57
Stable Diffusion CYOA Image Generation
09:05

Whisper: Audio To Text

7 lectures
Introducing Whisper
01:57
The Basics of Whisper
06:29
Installing PyAudio
00:15
Providing a Prompt to Whisper
02:47
Translating Audio With Whisper
04:51
Transcribing Non-English Audio
04:59
Running The Whisper Model Locally
05:48

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