Mô tả

In this course, you will discover the power of GPT-3 in creating conversational AI solutions.

We will start with an introduction to chatbots and their use cases, and then dive deep into GPT-3 and its capabilities. You will learn how to fine-tune the model for specific tasks, such as customer service, lead generation, or entertainment. We will cover techniques for improving the accuracy and fluency of the chatbot's responses, as well as strategies for handling user input and managing conversation flow.

Next, we will explore different ways to integrate GPT-3 chatbots with various platforms and channels, such as messaging apps, voice assistants, and social media. You will learn how to use APIs and SDKs to connect your chatbot to these platforms and leverage their features, such as natural language processing, voice recognition, or rich media support. We will also cover best practices for designing chatbot user interfaces and testing and deploying your chatbot in production.

By the end of this course, you will have a solid understanding of how GPT-3 works and how to use it to build powerful and engaging chatbots for your business or personal projects. You will have hands-on experience with fine-tuning GPT-3 models and integrating them with various platforms and channels, and you will be ready to apply these skills in real-world scenarios.

Bạn sẽ học được gì

Understand key concepts of fine-tuning pre-trained models.

Learn to determine if fine-tuning is appropriate for a specific problem.

Identify types of pre-trained models and their strengths and weaknesses.

Prepare data for fine-tuning with tokenization and encoding.

Fine-tune a pre-trained model for a specific NLP application

Yêu cầu

  • Basic knowledge of programming concepts and Python.
  • Basic understanding of natural language processing (NLP).

Nội dung khoá học

5 sections

Introduction to Fine-Tuning

4 lectures
Understanding GPT Models and Fine-Tuning for Specific Domains
01:59
Mastering Fine-tuning for NLP Applications
01:55
Introduction to OpenAI Playground
05:09
GPT Models and Fine-tuning
3 questions

Formatting data for Fine-Tuning

9 lectures
Maximizing Model Accuracy with Data Preparation and Formatting
02:09
Fine-tuning a GPT Model: Understanding Data Formats
09:46
Data Cleaning with Python: Removing Missing Values and Duplicates
09:40
Generating Questions and Answers from Text for Fine-tuning AI Models
07:26
Generate Questions and Answers from a raw text
1 question
Using ChatGPT to generate Python code for data manipulation
05:05
Running and Executing Python Code on Google Colaboratory
08:11
Creating prompts and completions from CSV data.
1 question
Building a Well-Structured Project Directory
03:37

Fine-Tuning a Model

4 lectures
How to Choose a Pre-Trained Model for Fine-Tuning
03:13
Preview to Fine Tuning Process
03:09
Fine-tuning a Pre-trained Model: A Three-Stage Process
11:49
Testing Your Fine-Tuned Model on OpenAI Playground
03:54

Develop your own chatbot based on GPT 3.5 Model

3 lectures
Getting Started with Postman and OpenAI API: Configuring the Environment
03:52
Creating a Chatbot Using OpenAI APIs: Incorporating Model Integration and Rules
07:11
Creating a Basic Chatbot Web Page with Integration of OpenAI API
04:07

Data Preparation, Fine-Tuning, and Testing of GPT-3.5 Turbo Models

5 lectures
Fine-Tuning GPT-3.5 Turbo Models: An Introduction
01:30
Data Preparation for Fine-Tuning GPT-3.5 Turbo Models
04:59
Executing Fine-Tuning on GPT-3.5 Turbo with Python
13:18
Verifying and Testing Your Fine-Tuned GPT-3.5 Turbo Model
04:18
Fine-Tuning of GPT-3.5 Turbo via OpenAI Playground
05:10

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