8115  Reviews star_rate star_rate star_rate star_rate star_half

Building Intelligent Chatbots with ChatGPT

Leverage the power of ChatGPT to create innovative conversational AI applications for businesses or personal projects. Over the course of three days, participants will gain a solid understanding of...

Read More
$3,000 USD
Course Code BUILD-CHATBOT
Duration 3 days
Available Formats Classroom

Leverage the power of ChatGPT to create innovative conversational AI applications for businesses or personal projects. Over the course of three days, participants will gain a solid understanding of essential concepts, techniques, and practical skills for creating, fine-tuning, and deploying chatbots powered by ChatGPT. The course places emphasis on utilizing the HuggingFace Transformers library and provides a thorough exploration of popular NLP frameworks and tools.

The first half of the course focuses on introducing ChatGPT, its potential applications in chatbots and conversational AI, and a brief overview of natural language processing and machine learning concepts. Participants will learn the inner workings of ChatGPT, how it generates human-like responses, and set up their development environment. The second half delves into building custom chatbots using ChatGPT, fine-tuning pre-trained models for specific use cases, and exploring advanced concepts such as transfer learning and multi-turn conversation. By the end of the course, participants will have hands-on experience developing and deploying their chatbot to a cloud platform and refining its performance through feedback loops. This robust course provides the foundation for integrating ChatGPT-powered chatbots into various business processes and applications.

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

Course Details

Day 1: Introduction to Building ChatGPT

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
  • 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