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Qna Chatbot Development: From Concept To Deployment

Posted By: ELK1nG
Qna Chatbot Development: From Concept To Deployment

Qna Chatbot Development: From Concept To Deployment
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 192.59 MB | Duration: 0h 32m

Create Smart QnA Chatbots: Transform Information into Instant Answers

What you'll learn

AI

Artificial Intelligence

Langchain

Chatbot

Groq

Streamlit

Generative AI

Requirements

No prior AI knowledge needed

Description

"Welcome to the QnA Chatbot Development Course!"In today’s fast-paced digital world, chatbots have become essential for improving user engagement and providing quick answers to customers' queries. This course is designed to guide you step-by-step through creating a Question-and-Answer (QnA) chatbot, a powerful tool that can transform documents, databases, or any source of information into a responsive, conversational AI assistant.Whether you're aiming to automate customer support, improve educational tools, or explore the latest in AI technology, this course will equip you with the skills needed to build, optimize, and deploy a highly interactive QnA chatbot. We’ll delve into fundamental concepts, explore frameworks, and learn hands-on techniques to create a chatbot that can process natural language and deliver accurate, context-aware responses.By the end of this course, you’ll have a fully functional QnA chatbot that can be integrated into various platforms, adding real value to users and organizations alike. Join us, and let's unlock the potential of conversational AI together!No prior Experience requiredEverything you'll be taught will be on a basic levelEverything used in this lecture will be Open Source and free to be used Basic Knowledge of Python neededIf you ever get stuck in any of the lectures just comment down, I'll be ready to help

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: LangChain and Groq

Lecture 2 Langchain and Groq

Lecture 3 Setting up API Key and importing libraries

Section 3: Creating AI

Lecture 4 Creating Prompt

Lecture 5 Creating a Function for AI calling

Lecture 6 Using Streamlit for Web App Creation

Section 4: User Response Creation

Lecture 7 Creating User Input in Streamlit

Lecture 8 Connecting our web app to AI

Beginner