Rasa Chatbot Development Using Python And Openai Gpt-3 Model

Building AI-Chatbot with Python and Open AI GPT-3 model from scratch

What you'll learn

Why Rasa? What are the components in Rasa?

What is NLU(Natural Language Understanding) and why it is required?

Creating Chat bot using CLI(Command line interface)

Connecting to other API’s through Rasa

How to use Open-AI GPT-3 model inside Rasa chatbot

Creating API using Flask and hosting it in your local machine

Connecting Flask API to Rasa webchat

Advanced concepts like duckling entity extraction ,reminder scheduler

Creating reporting chatbot from scratch using Pandas and NumPy

Requirements

Basic understanding of python

Basics of Natural Language Programming

Description

This course provides an introduction to Rasa chatbot development using Python and Open AI GPT3 model. The course covers all the fundamentals of chatbot development.As Rasa is an open source framework for building contextual AI assistants. You will learn how to create and train Rasa NLU models to extract intents and entities from incoming user messages. The course will also cover topics such as creating custom slots, forms, stories using conversational flows and  also some of the concepts such as connecting to duckling entity extractor , reminder scheduler , saving the conversation and creating .bat files to run ,host the servers and how to use rasa webchat to connect to rasa sever.It also Includes how to build and host a Rasa chatbot on your local machine, how to use machine learning and natural language processing (NLP) to understand user input, and how to use Open AI GPT3 to make the chatbot more intelligent. With very basic coding skills needed any beginner in programming can get along with the course and learn how to build advanced chatbots!.Through hands-on activities, participants will gain practical experience in creating and hosting their own Rasa chatbot. At the end of the course, participants will have the skills and knowledge necessary to build and host their own Rasa chatbot.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Rasa Introduction

Lecture 2 Rasa Introduction

Lecture 3 Rasa Components

Lecture 4 Software Installation

Lecture 5 Rasa Initialization

Section 3: Sample Chatbot creation

Lecture 6 Sample Chatbot creation

Lecture 7 Rasa Actions, endpoints

Lecture 8 Sample Chatbot creation for flight booking

Lecture 9 Sample chatbot for Flight booking-2

Lecture 10 Sample chatbot for flight booking-3

Lecture 11 .Sample chatbot for Flight booking_4

Lecture 12 Sample chatbot for Flight booking_5

Lecture 13 Sample chatbot for Flight booking_6

Section 4: Connecting to Open AI GPT-3 model

Lecture 14 Connecting to GPT_3 model

Lecture 15 Connecting to GPT_3 model_2

Lecture 16 Connecting rasa webchat

Section 5: Advanced Concepts in Rasa

Lecture 17 Advanced concepts ,Duckling entity extractor and Reminder Scheduler

Lecture 18 Reminder scheduling

Lecture 19 Changing default ports

Section 6: Final Project on Reporting chatbot

Lecture 20 Reporting Chatbot Part-1

Lecture 21 Reporting Chatbot Part_2

Lecture 22 Closure

Beginners in Rasa Chatbot development who want develop chatbot for free,NLP enthusiasts who are curious to use GPT-3 model inside Chatbot,Python Developers who curious about AI-Chatbot using open source libraries