Published 7/2024
Created by Mohammed Zeeshan A
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 55m ) | Size: 815 MB
Creating Intelligent Assessments and Answer Systems Using Generative AI
What you’ll learn:
Multiple-Choice Question (MCQ) Generation Scenario Creation: How to generate realistic scenarios based on given documents or datasets.
Question Answering: Building systems that can accurately answer questions based on the retrieved information.
Integration with AI Models: Combining generative AI models with information retrieval systems to enhance QA capabilities.
Project Execution End-to-End Project Development: Steps to develop, test, and deploy a complete MCQ generator and QA system.
Requirements:
Python
Description:
Dive into the exciting world of Generative AI with my hands-on project course, “MCQ Generator and QA System: Creating Intelligent Assessments and Answer Systems Using Generative AI.” This course will guide you through leveraging OpenAI’s powerful language models and LangChain to develop sophisticated applications for education and information retrieval, all on your local system.What You’ll Learn:OpenAI Language Models: Understand and utilize OpenAI’s advanced language models for generating text and answering questions.LangChain Integration: Learn how to harness the power of LangChain to connect language models with various data sources and workflows.Scenario-Based MCQ Generation: Create realistic scenarios and formulate multiple-choice questions with varying difficulty levels.Building a QA System: Develop a robust QA system that retrieves and processes information to provide accurate answers.Practical Implementation: Use Python to build and deploy your projects locally.Streamlit UI Development: Create interactive user interfaces with Streamlit to showcase your AI applications.Course Highlights:Hands-On Labs: Engage in practical exercises to solidify your understanding and skills.End-to-End Project: Work on a comprehensive project, from conceptualization to deployment.By the end of this course, you will have the knowledge and skills to create intelligent MCQ generators and QA systems using the latest advancements in Generative AI, OpenAI, and LangChain, preparing you for a career in AI and machine learning.
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