English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 22m | 56 MB
Are you a Python programmer looking to expand your skill set with AI, machine learning, and APIs? In this course, instructor Dhhyey Desai shows you how to use LangChain and OpenAI to build a fully personalized chatbot that’s trained on your data through a PDF file.
Learn the fundamentals of setting up and preparing data, including the development environment, PDF, and website data. Along the way, Dhhyey provides an overview of what it takes to successfully build a chatbot, from integrating OpenAI for responses to building the LangChain architecture and using Flask for chatbot deployment.
Table of Contents
Introduction
1 Build your own chatbot with OpenAI and LangChain
2 What you should know
Setting Up and Preparing Data
3 Setting up the development environment
4 Collecting and preparing PDF data
5 Collecting and preparing website data
Building the Chatbot
6 Integrating OpenAI for responses
7 Building the LangChain architecture
8 Using Flask for chatbot deployment
9 Deploying the chatbot
Conclusion
10 Next steps
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