Transformer Architecture: Components, Working & Applications
Learn how Transformer architecture works, from self-attention and multi-head attention to embeddings, positional encoding, and encoder-decoder workflows. Explore its applications, limitations, modern variants, benchmarks, and role in today’s AI systems.











