Quick answer: Attention, layers, training — the foundation of all modern LLMs.
Transformer Architecture is the foundational neural network design that powers every modern Large Language Model, including GPT, Claude, and Gemini. At its core, transformers use an attention mechanism that allows models to understand relationships between words regardless of distance in text, combined with parallel processing layers that extract meaning at multiple levels of abstraction. This architecture lets you build and fine-tune language models, develop retrieval-augmented generation (RAG) systems, create domain-specific AI applications, and understand how LLMs work under the hood. Whether you're developing a customer service chatbot, building content generation tools, or creating specialized AI models for Indian languages, transformers are the engine behind it all.