OpenAI, GPT, ChatGPT and DALL-E Masterclass

سرفصل های دوره

Everything from No-Code, through to fine-tuning & embedding with code examples in multiple programming languages.

1 - What is OpenAI

1 - Introduction

2 - Quick Start Code Example

3 - Text Completion High Level Overview

4 - CODEX High Level Overview

5 - What are Tokens

6 - DALLE High Level Overview

7 - Naming Conventions I Use in the Course

2 - NoCode Testing Using the OpenAI Playground

8 - Examples of Using the OpenAI Playground for NoCode Testing of Prompts

3 - Prompt Engineering

9 - Introduction to GPT Prompt Engineering

10 - Improving GPT Prompts to get Better Responses

11 - Recipe 1 GPT Templating

12 - Recipe 1 GPT Template Examples

13 - Recipe 2 Including Context or Knowledge in GPT Prompts

4 - Writing Code

14 - Getting Started

15 - The Anatomy of a Request and Response

16 - Testing in the Playground

17 - Code Examples in a Range of Programming Languages

18 - PHP Example without a Library

19 - Powershell Example

20 - Using Javascript Fetch and Cross Site Origin Issues

5 - The Moderation Endpoint

21 - Calling the Moderation Endpoint to Stay Safe and Interpreting the Results

6 - Tweaking Prompt Parameters

22 - Introduction to Completion Parameters

23 - Quick Revision of a Code Example to call the API

24 - maxtokens

25 - topp

26 - temperature

27 - n

28 - stop

29 - bestof

30 - suffix

31 - echo

32 - user

7 - Adjusting Probabilities and Avoiding Repetition

33 - Introduction to Token Probabilities

34 - View Token Probabilities with the logprobs Parameter

35 - Using the Tokenizer to Get Token IDs and Adjust Token Probabilities

36 - Adjusting a Token using logitbias

37 - Avoiding Repetition with Penalty Parameters

8 - Using the Edits Endpoint with Input and Instruction

38 - An Example of Using Edit Instead of Completion

9 - DALLE

39 - Introduction to DALLE

40 - Creating Images using DALLE from a Text Prompt

41 - Modifying Existing Images using DALLE and Mask Files

42 - Generating Variations of Images using DALLE

43 - Tips for handling Images with Different Programming Languages

44 - Image Moderation and Avoiding User Abuse

10 - CODEX Learn By Example

45 - Introduction to Codex and the Code Models

46 - Example Simple Comments to Python Code

47 - Examples Comments to SQL

48 - Example Explain What a Function or Code Does

49 - Checkpoint Best Practices

50 - Example Comprehensive Prompt for a Complex Task

51 - Example Generate Unit Tests

52 - Example Finding and Fixing Bugs in Code

53 - Example Convert Between Programming Languages

54 - Example Work Out Time Complexity for a Function

55 - Example Teaching New API Definitions

56 - Example Step by Step Construction of a Function Using Inputs and Instructions

57 - IMPORTANT Writing Safe Code Using CodeX Tips and Warnings

11 - FineTuning GPT

58 - What is Fine Tuning

59 - The Anatomy of a JSONL file

60 - Training to Determine Sentiment Analyze Tweets

61 - Training to Create a TrueFalse Checker Matching Company Names and Slogans

62 - Training for Classification Example Based on Email Contents

63 - Training to Summarize Write Engaging Sales Copy from a Wikipedia Description

64 - Training to Expand Write Sales Copy from Properties of an Item

65 - Training to Extract Pull Entities from Emails or Text

66 - Fine Tuning a Chat Bot

67 - Fine Tuning Based on Text from Books and Documents

68 - Analyzing the Effectiveness of the Training

69 - Tips and Tricks

12 - Generating Fine Tuning Data Sets

70 - Scraping Data

71 - Get GPT to Generate its own Training Data

72 - Get GPT to Check and Improve its own Output

13 - Uploading FineTuning Files and Tweaking Parameters

73 - Upload and Process the FineTuning File

74 - Errors While Uploading

75 - batchsize and nepochs

76 - learningratemultiplier

77 - Find and Use the FineTuned Model

14 - Embedding Searching and Integrating Large Documents and Text

78 - Part 1 What are Embeddings

79 - Part 1 The ADA 002 Embedding Engine

80 - Part 1 Generate Your First Embedding Vector

81 - Part 1 The Code Libraries You Will Need to Use

82 - Part 2 Checking Text for Similarity

83 - Part 3 Introduction to Embedding

84 - Part 3 Combining Data to Create the Source Text

85 - Part 4 Cleaning the Data So We Dont Break GPT

86 - Part 4 Creating a Function to Calculate the Embedding Vectors

87 - Part 4 Using the Function to Add Embedding to our Data Source

88 - Part 5 Putting it to Work Loading the Data Source

89 - Part 5 The Final Step Doing a Semantic Search

90 - Integrating Alternative Embedding Libraries with GPT Word2vec and Pinecone

15 - Classifying Data using Embedding

91 - Classifying Text Using Embedding

92 - Testing the Accuracy of the Classifier

16 - Clustering Data Using Embedding

93 - How to Find Hidden Patterns in Data using Embedding and Clusters

94 - Final Summary of Embedding

17 - Using GPT for Creative Writing

95 - Creating an Article in Stages Brainstorming and Generating Paragraphs

96 - Expanding Existing Text

97 - Summarizing Text

98 - Extracting Facts

99 - Rewriting Existing Articles Blog Posts or Information

18 - Creating a Chatbot with GPT

100 - The Back and Forth Flow of Chatbots

101 - Tips for Training a Chatbot for Knowledge

102 - Using Embedding to Train a Chatbot

103 - Ring Fencing the Chatbot to Avoid Abuse

104 - Adding Persistence Memory to a Chatbot

105 - A Recipe to Give Your Chatbot a Persona

19 - Usage Policy and Best Safety Practices

106 - Staying Safe Usage Policies from the Developers Point of View

107 - Staying Safe Best Coding Practices

108 - Staying Safe API Keys and Avoiding Prompt Injection

109 - Cost Saving Tips

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تولید کننده: Udemy-Training