Prerequisites

Designed for developers and data scientists who want to build intelligent chatbots

  • 1 year programming experience or
  • 1 year of AI, ML, or Deep Learning experience
  • General understanding of computing concepts

Outline for Building Intelligent Chatbots with ChatGPT Training

Day 1: Introduction to Building ChatGPT

  • Introduction to ChatGPT and its potential applications in chatbots and conversational AI
  • Overview of natural language processing and machine learning concepts, without delving too deep into technical details
  • Explanation of how ChatGPT works and how it can be used to generate human-like responses
  • Overview of popular NLP frameworks and tools, with an emphasis on OpenAI and HuggingFace
  • Setting up the development environment
  • Running a simple example of ChatGPT using HuggingFace's Transformers library
  • Lab 1: Hands-on session on installing the necessary software and tools for the course
  • Lab 2: Using HuggingFace's Transformers library to generate text using a pre-trained ChatGPT model
  • Lab 3: Fine-tuning a pre-trained ChatGPT model on a custom dataset

Day 2: Building Custom Chatbots with ChatGPT

  • Understanding the key components of a chatbot and how they work together
  • Identifying the specific needs and goals of your business and how ChatGPT can help achieve them
  • Developing a custom chatbot using ChatGPT and HuggingFace
  • Understanding how to fine-tune a pre-trained ChatGPT model for your specific use case
  • Lab 1: Developing a custom chatbot using HuggingFace's Transformers library and a pre-trained ChatGPT model
  • Lab 2: Fine-tuning a pre-trained ChatGPT model on a custom dataset to improve the performance of the chatbot
  • Hands-on session on developing a custom chatbot with ChatGPT and HuggingFace

Day 3: Advanced ChatGPT Concepts and Deployment

  • Exploring advanced concepts in ChatGPT such as transfer learning and multi-turn conversation
  • Understanding how to evaluate the performance of your chatbot and refine it through feedback loops
  • Overview of different types of deployment options, including cloud-based and on-premises solutions
  • Deploying your chatbot to a cloud platform such as AWS or Google Cloud Platform
  • Lab 1: Implementing transfer learning techniques to improve the performance of your chatbot
  • Lab 2: Deploying your chatbot to a cloud platform such as AWS or Google Cloud Platform
  • Hands-on session on deploying your chatbot to a cloud platform and refining its performance through feedback loops
  • Wrap-up and discussion of next steps for integrating ChatGPT-powered chatbots into your business processes