Transformers power modern NLP systems, replacing earlier RNN and LSTM approaches. Their ability to process all words in parallel enables efficient and scalable language modeling, forming the backbone of models like GPT and Gemini. In this article, we break down how Transformers work, starting from text representation to self-attention, multi-head attention, and the full Transformer […]The post How Transformers Power LLMs: Step-by-Step Guide appeared first on Analytics Vidhya.