Everything you need to understand modern AI, in one place. This playlist walks from the attention mechanism all the way to fine-tuning a model on your own data with worked examples and runnable code. 🔔 Subscribe : youtube.com/@UCTf4vbJPhLrtjhdu2q7AacA What you'll learn: - How attention lets a model decide what matters - Query, Key, Value and the attention formula, demystified - How BERT, GPT, and Vision Transformers differ — one idea, three models - Bidirectional vs causal attention, masked vs next-word training - How images become patches for a Vision Transformer - Prompt engineering: being specific, few-shot, chain-of-thought - Fine-tuning, RAG, and the affordable LoRA approach If this helped, a like and subscribe go a long way. And tell me in the comments what I should cover next. #Transformers #LLM #DeepLearning