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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