This repository contains Jupyter Notebook examples demonstrating how to work with transformer models for NLP tasks. It covers fine-tuning and training with Hugging Face Transformers, using OpenAI APIs (GPT-3.5-turbo, GPT-4), generating images with DALL-E 2, and advanced prompt engineering techniques. The material ranges from foundational models like BERT and RoBERTa through to multimodal capabilities including speech-to-text and text-to-image generation.