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π Topics Covered:
00:00:00 Introduction to ChatGPT Full Tutorial
00:03:10 Basics of ChatGPT
00:04:24 Introduction to Generative AI
00:10:22 How does Generative AI work?
00:11:05 Types of Generative AI
00:15:13 Introduction to LLMs
00:17:29 How does LLM works?
00:20:39 Examples of LLMs
00:21:48 Types of LLMs
00:24:43 Limitations of LLMs
00:25:16 Future of LLMs
00:26:03 Demystifying GPTs
00:28:53 How to Access ChatGPT
00:31:54 Interface of ChatGPT
00:37:36 Uses and Applications of ChatGPT
00:42:33 Limitations of ChatGPT
00:47:32 Coding Prompts for ChatGPT
00:53:11 Suggestion prompts for ChatGPT
00:56:54 Summarization prompts for ChatGPT
01:03:12 Keyword-based text generation
01:06:24 Keyword generation and usage
01:00:27 Introdution to ChatGPT 4
01:24:16 ChatGPT-4 Dashboard
01:32:55 Prompts for ChatGPT 4
01:41:22 ChatGPT 4o vs 4 vs 3.5
01:49:39 How to use ChatGPT 4o for free
01:59:44 Introduction to Prompt Engineering
02:05:29 Main Elements of Prompt Engineering
02:08:25 Components of a Good Prompt
02:10:24 Examples of the Components of a Good Prompt
02:15:52 How to Write a Good Prompt
02:21:22 Different Prompt Patterns
02:27:36 Common Prompting Errors
02:31:27 Applications of Prompt Engineering
02:36:12 Hands-on Basics of Prompt Engineering
02:43:23 Defining a Good Prompt by an Example of Text Summarization
02:55:54 Defining a Good Prompt by an Example of Code Generation
03:00:20 Zero-shot, Few-shot and Chain of Thought Process
03:04:16 Hands-on Zero-shot
03:07:07 Hands-on Few-shot
03:09:01 Hands-on Chain of Thought
03:13:23 Summary of Prompt Engineering
03:15:17 ChatGPT v/s GitHub Copilot
03:18:18 Using ChatGPT with and without Programming Expertise
03:22:19 ChatGPT to build programs
03:33:33 Code Interpreter in ChatGPT
03:34:41 Code Interpreter in ChatGPT – Demo
03:50:14 Debugging with ChatGPT
03:56:50 Exception Handling using ChatGPT
04:03:57 Testing using ChatGPT
04:08:50 Extra uses of ChatGPT
04:16:59 Coding Limitations of ChatGPT
04:21:33 Build Python App using ChatGPT 4o
04:32:48 Build Website using ChatGPT 4o
04:36:28 Introduction ToText Summarization
04:44:09 Basic Steps for Text Summarization
04:58:39 Text Summarization using ChatGPT
05:02:53 Introduction to Data Analysis using ChatGPT
05:06:46 Data Analysis using Python – Outline
05:16:19 Understanding the Car-MPG Dataset
05:32:09 Car-MPG – Distribution of Origin Variable
05:36:04 Car-MPG – Handling Missing Values
05:45:27 Car-MPG – Regression Modeling
05:58:31 Car-MPG – Summary Statistics
06:07:51 Car-MPG – Univariate Analysis and Correlation Matrix
06:27:01 Data Analysis using Excel – Overview
06:41:22 Car-MPG – Converting Data Types in Excel
06:50:31 Car-MPG – Univariate Analysis in Excel
06:55:28 Generating Excel Functions using ChatGPT
07:11:01 Types of Functions in Excel
07:19:39 Pivot Tables and Pivot Charts using ChatGPT
07:25:04 Types of Presentations
07:31:54 Key Elements of a Presentation
07:41:19 Creating Content using ChatGPT
08:10:26 VBA code in PowerPoint
08:13:28 ChatGPT for Drafting Emails
08:34:03 ChatGPT for Creating Social Media Posts
08:50:43 ChatGPT for Search Engine Optimization
09:10:37 ChatGPT for Blog Writing
09:17:18 Types of Digital Marketing
09:28:34 Understanding Market Segmentation using ChatGPT
09:38:19 Social Media Marketing
09:35:32 Email Marketing using ChatGPT
10:01:16 Customer Feedback using ChatGPT
10:07:01 ChatGPT for Personal Finance
10:22:43 ChatGPT for Retirement Planning and Pension Schemes
10:34:49 ChatGPT for Banking Sector
10:45:53 ChatGPT for Investment Strategies
10:58:52 ChatGPT for Credit Scores and Credit Management
11:14:33 Creating Custom GPT in ChatGPT
11:38:36 Summary of ChatGPT
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