Mastering Chatgpt Models: From Fine-Tuning To Deployment

GPT-3 for Chatbots: Building Conversational AI with Fine-tuning and Integration

What you'll learn

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

Requirements

Basic knowledge of programming concepts and Python.

Basic understanding of natural language processing (NLP).

Description

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.

Overview

Section 1: Introduction

Lecture 1 Understanding GPT Models and Fine-Tuning for Specific Domains

Lecture 2 Mastering Fine-tuning for NLP Applications

Lecture 3 Introduction to OpenAI Playground

Lecture 4 Maximizing Model Accuracy with Data Preparation and Formatting

Lecture 5 Fine-tuning a GPT Model: Understanding Data Formats

Lecture 6 Data Cleaning with Python: Removing Missing Values and Duplicates

Lecture 7 Generating Questions and Answers from Text for Fine-tuning AI Models

Lecture 8 Using ChatGPT to generate Python code for data manipulation

Lecture 9 Running and Executing Python Code on Google Colaboratory

Lecture 10 Building a Well-Structured Project Directory

Lecture 11 How to Choose a Pre-Trained Model for Fine-Tuning

Lecture 12 Introduction to Fine Tuning Process in Python

Lecture 13 Fine-tuning a Pre-trained Model: A Three-Stage Process

Lecture 14 Testing Your Fine-Tuned Model on OpenAI Playground

Tech-savvy individuals,Data scientists and machine learning engineers.,Software developers interested in NLP.,Business analysts or consultants.,Researchers or academics.