It provides users with unprecedented control over the generated texts, allowing them to customize it to meet their needs. CTRL is a GPT-3-like transformer-based model, with a single encoder and decoder that is able to generate text with control codes in a variety of language tasks. It is trained on a corpus of 45TB of web text and over 8 million control codes derived from the structure of webpages. By providing users with a natural-language interface, CTRL allows users to customize their generated text to represent their desired style and intent. Through its control codes, CTRL eliminates the need for handcrafted templates, and enables users to focus on the content they wish to generate. CTRL is also able to generate text with a human-like sense of coherence, enabling users to generate high-quality, personalized content in a fraction of the time. This makes it an ideal tool for content generation, translation, summarization, and other natural language tasks.
