Introduction to Large Language Models (LLMs) - NPTEL Course

A comprehensive course on Large Language Models offered by IIT Delhi and IIT Bombay through NPTEL (National Programme on Technology Enhanced Learning).

Course Overview 📚

Instructors

• Prof. Tanmoy Chakraborty (IIT Delhi)
• Prof. Soumen Chakrabarti (IIT Bombay)

Teaching Assistants

• Anwoy Chatterjee (PhD student, IIT Delhi)
• Poulami Ghosh (PhD student, IIT Bombay)

Course Structure 🎓

Weekly Modules

1. Week 1: Foundations
2. Introduction and Recent Advances
3. Introduction to Natural Language Processing

4. Deep Learning Basics

5. Week 2-8: Core Content

6. Transformer Architecture
7. Language Models & Embeddings
8. Advanced Learning Paradigms
9. Knowledge Integration & Retrieval
10. Ethics & Contemporary Models

Getting Started 🚀

Prerequisites

• Python programming knowledge
• Basic understanding of Machine Learning
• Data Structures & Algorithms fundamentals

Local Development

# Install dependencies
pnpm install

# Start development server
pnpm dev

# Visit http://localhost:3000

Website Features 💡

Technical Features

• Built with Nextra documentation framework
• React-based components
• MDX support for interactive content
• Dark/light mode theming
• Full-text search capability
• Mobile-responsive design

Content Features

• Interactive code examples
• Downloadable lecture materials
• Progress tracking
• Embedded diagrams and visualizations
• Searchable documentation

Contributing 🤝

We welcome contributions to improve the course materials: 1. Fork the repository 2. Create your feature branch 3. Commit your changes 4. Push to the branch 5. Create a Pull Request

Resources 📖

Additional Reading

• Speech and Language Processing
• Neural Network Models for NLP
• Course-specific materials in the /resources directory

Support

For technical issues, please open a GitHub issue. For course-related queries, use the NPTEL discussion forum.

License

This project is licensed under the MIT License. See LICENSE for details.

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