
Introduction to Large Language Models
Explore the fundamentals and advanced concepts of Large Language Models through a structured course. Gain hands-on experience with interactive code examples and downloadable materials to enhance your learning. Join a community of learners and track your progress as you delve into the world of NLP and deep learning.
Installation
Installing for Claude Desktop
Option 1: One-Command Installation
npx mcpbar@latest install Yash-Kavaiya/introduction-to-llms-nptel -c claude
This command will automatically install and configure the Introduction to Large Language Models MCP server for your selected client.
Option 2: Manual Configuration
Run the command below to open your configuration file:
npx mcpbar@latest edit -c claude
After opening your configuration file, copy and paste this configuration:
View JSON configuration
{
"mcpServers": {
"Introduction to Large Language Models": {
"command": "npx",
"args": [
"-y",
"nextra-docs-template"
],
"env": {}
}
}
}
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 ๐
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 ๐
Weekly Modules
-
Week 1: Foundations
- Introduction and Recent Advances
- Introduction to Natural Language Processing
- Deep Learning Basics
-
Week 2-8: Core Content
- Transformer Architecture
- Language Models & Embeddings
- Advanced Learning Paradigms
- Knowledge Integration & Retrieval
- Ethics & Contemporary Models
Getting Started ๐
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 ๐ก
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 ๐ค
We welcome contributions to improve the course materials:
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
Resources ๐
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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