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Mastering Python With OpenAI APIs and GPT-4

Mastering Python With OpenAI APIs and 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.


What you’ll learn

  • 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

Course Content:

Module1: Introduction

  • Getting Access To Our Discord Community
  • A Brief History of OpenAI
  • Let’s Talk About GPT
  • OPTIONAL: The Transformer Architecture
  • Signing Up For An Account03:47
  • Getting The Course Code
  • Getting The Course Slides

Module2: Getting Started

  • Install Requirements
  • Our First Completion Request
  • For Windows Users: Editing Text Files
  • Hiding Our API Key
  • Understanding Tokens
  • Maxtokens
  • Stop Sequences
  • N and Echo
  • The Different Completion Models
  • Comparing Model Performance and Pricing

Module3: Prompt Engineering

  • The Elements of a Good Prompt
  • Controlling The Output Format
  • Summarization Prompts
  • Data Extraction Prompts
  • Sentiment Analysis Prompt
  • Zero-Shot Vs. Few-Shot Prompting
  • “Let’s Think Step By Step” Prompting
  • Text Transformation Prompts

Module4: 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 Browse
  • Copy and Paste Functionality
  • Styling The Color Block
  • Styling The Form
  • Refactoring Our Front-End Code

Module5: Important API Parameters

  • Temperature
  • Understanding Top P
  • Frequency Penalty
  • Presence Penalty
  • Streaming Responses

Module6: The Chat API & GPT4

  • Introduction to Chat API
  • Our First Chat Request
  • Important Note On Pricing!
  • Prompting With Properly Formatted Messages
  • Note on GPT-3.5-Turbo Version
  • Rewriting a Completion Prompt In Chat Format
  • Chat API Parameters

Module7: 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

Module8: Working with GPT-4and 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

Module9: Cost Estimation with TikToken

  • Counting Tokens With TikToken
  • Counting GPT-4 Message Token

Module 10: GPT4 -Automatic Code Review

  • Introducing The Basic Code Reviewe
  • 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

Module11: 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 Pytho
  • Searching For Spotify Tracks Via Pytho
  • Creating Spotify Playlists Programmatically
  • Adding in OpenAI
  • Accepting Command Line Arguments
  • Overview of the Polished Solution

Modue12: Embeddings

  • Requirements
  • Introducing Embeddings
  • Generating a Single Embedding
  • Introducing The Movie Embedding Visualization
  • Getting our Movie Data
  • Getting Our Movie Data Ready
  • Generating Embeddings for 5000 Movies
  • Visualizing Our Embeddings With Atlas
  • Recommending Movies Using Our Embedding

Module13:Using Embedding to Enhance GPT-4

  • Expanding GPT-4 “Knowledge” With Embeddings
  • Gathering Our Embeddings
  • Implementing Q&A With Embeddings & GPT-4

Module14: Sentiment Analysis Project

  • Introducing The Reddit Sentiment Analysis Project
  • Collecting Comments From Reddit
  • Analyzing Sentiment In The Comments
  • Plotting The Results

Module15: Book Summarize Project

  • Introducing The Book Summarizer
  • Preparing Book Text For Summarization
  • Context Window Math
  • Summarization Logic
  • Caching Results
  • Performing a “Meta-Summary” With GPT-4

Module16: DALL-E-APP

  • Intro To DALL-E
  • Making a DALL-E Request
  • Saving DALL-E Images
  • Alternative Approach To Saving Images
  • Requesting Image Variation
  • DALL-E Image Edits

Module17: Stable Diffusion

  • Introducing Stability.AI and Stable Diffusion
  • Using the Stability SDK
  • Introducing The Choose Your Own Adventure Project05:33
  • GPT-4 CYOA Text Generation
  • Stable Diffusion CYOA Image Generation

Module18: Whisper Audio to Text

  • Introducing Whisper
  • The Basics of Whisper
  • Providing a Prompt to Whisper
  • Translating Audio With Whisper
  • Transcribing Non-English Audio
  • Running The Whisper Model Locally

Requirements
  • Just some beginner Python experience. That’s it!

Who this course is for:
  • Developers curious about AI
  • Software engineers looking to supercharge their workflow with generative models
  • Entrepreneurs interested in the OpenAI’s tools offers
  • Content Creators interested in supplementing their creative workflow

International Student Fees: 400$ US




Flexible Class Options

  • Week End Classes For Professionals  SAT | SUN
  • Corporate Group Trainings Available
  • Online Classes – Live Virtual Class (L.V.C), Online Training

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KEY FEATURES

Flexible Classes Schedule

Online Classes for out of city / country students

Unlimited Learning - FREE Workshops

FREE Practice Exam

Internships Available

Free Course Recordings Videos

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