This repository provides a comprehensive learning resource for understanding and implementing large language models. It covers the theoretical foundations of BERT and GPT architectures, practical OpenAI API usage including embeddings, GPT models, and function calling, and demonstrates GenAI application development using LangChain for use cases such as AutoGPT, RAG-based chatbots, and machine translation. The content is delivered through Jupyter Notebooks with practical code examples.