Transformers use self-attention to analyze all words in a sentence simultaneously. This allows AI to capture context and meaning better than older sequential models. Chatbots, translation tools, and writing assistants rely on Transformers to follow conversations, summarize content, and generate human-like responses. Their architecture enables AI to handle long text, recognize patterns, and provide accurate outputs in real time. Transformers are foundational to modern AI, bridging the gap between simple automation and intelligent communication.
**Key takeaway:** Transformers allow AI to understand language like humans.