T5 is a unified text-to-text framework proposed by Google that formulates tasks such as summarization, translation and classification as 'input text → output text'; the largest original version has about 11 billion parameters, while smaller variants such as T5-small, T5-base or Flan-T5 are commonly used in actual deployments.