Published 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 2h 28m
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
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