LLM Project

📘 Overview

This project focuses on building and experimenting with Large Language Models (LLMs) for natural language understanding and generation tasks. It includes training, fine-tuning, and deploying models to handle tasks such as text generation, question answering, summarization, and conversational AI.

✨ Features

• Data preprocessing and cleaning
• Implementation of transformer-based LLMs
• Fine-tuning and model optimization
• Text generation, summarization, and QA
• Evaluation using NLP metrics
• Deployment-ready model pipelines

🛠️ Technologies Used

• Python 3.10+
• Libraries:
  • Hugging Face Transformers – LLM models
  • PyTorch / TensorFlow – Deep learning frameworks
  • datasets – NLP datasets
  • numpy / pandas – Data manipulation
  • scikit-learn – Model evaluation metrics
  • Jupyter Notebook

👤 Author

Vishal Malik
🔗 LinkedIn
🔗 GitHub