Length : 4+ hours
Lots of new content! Table of Contents updated on Jan 11 2023
OpenAI, ChatGPT, GPT3 and DALL-E Course Content
What is OpenAI?
– Introduction
– Quick Start Code Example
– Text Completion at a High Level
– CodeX High Level Overview
– What are Tokens
– DALL-E High Level Overview
– Signing Up to OpenAI
No-Code Testing Using the OpenAI Playground
– Examples using OpenAI Playground
Prompt Engineering
– Multiple Recipes
– Stopping Drift
– Position of new lines and spaces
Writing Code
– Making Requests
– Understanding Responses
– Available Libraries
– Testing in the Playground
– Simple CURL Example
– Simple Python Example
– Simple Node.js Example
– Simple C# Example
– Simple PHP Example
Moderations
– Overview and how to use
Code Walkthroughs
– Asking Simple Questions
– Giving Simple Instructions
– Simplifying Text
– Translating
– Classifying Data
– Writing Ad Copies
Tweaking Prompt Parameters
– In depth slides for each parameter
– Adjusting probabilities for selected tokens
– Avoiding Repetition
Tips, Tricks, and Limitations
– Tips for Prompt Engineering
Code for the Edits
– Using Input and Instruction
DALL-E
– Overview
– Examples
– Modifying Images
– Generating Variations
– Image handling in memory for multiple programming languages
– Image Moderation
CODEX learn by example
– Capabilities
– Comments to generate code
– Comments to generate SQL
– Explaining a function
– Recipe for complex tasks
– Finding and Fixing Bugs
– Convert between programming languages
– Teaching new API definitions
– Step by Step Refining a Function from Scratch
– Generating Safe Code and Warning About Exploits
Fine Tuning GPT
– What is Fine Tuning?
– Overview of the Steps
– Preparing Training Data
– Lots of examples
– Training a chatbot
– Analysing Effectiveness of Training
– Parameters to use for each Use Case
– Scraping data for Training
– Using GPT to Generate Training Data
– Improve its own Output
– How to Upload your Training (with code)
– Importing the Training (with code)
– n_epochs, batch_size and learning_rate_multiplier
– Common Error message
Embedding
Embedding content is available for free from >> here <<
– What are they
– How to store them and use them in code
– Setting up and using Text Similarity (with code walkthrough)
– Concept of Text Distance
– Setting up and Using Semantic Search (with code walkthrough)
– Loading the data, filtering the results
– What is a Cosine Similarity?
Classification
– Code walk though to setup and use
– Practical example of using Classification
– What is a Random Forest Classifier (in plain english)
– Lots of use cases for classification
– Testing Accuracy of the Classifier
Clustering
– Code walk though to setup and use
– Finding hidden patterns
– Using GPT to discover the hidden pattern
– Practical example of using Classification
Making a Chatbot (Not ChatGPT)
– The back and forth of chat
– Training for Customer Service Bot
– Training for Product Knowledge Bot
– Combining ChatBots with Embedding
– Ringfencing the Discussion
– Adding Persistent Memory
Creative Writing
– Expanding Text
– Summarizing text
– Extracting Info
– Rewriting text
Usage Policy Discussion
– Legality
– Risk of Potential Harm
– Content Moderation
Best Safety Practices
– Types of Testing
– API Key Safety
– Hardening Against Hackers
– Various tips to save money