Pretrained models are an important term in the fields of artificial intelligence, big data and smart data, and digital transformation. They refer to ready-made, already pre-trained computer models that are used in the development of AI applications.<\/p>\n
Instead of starting from scratch every time with huge amounts of data, companies use pre-trained models that have already been \u201epre-trained\u201c by experts using large datasets. This saves time, money, and computing power. These models can be used, for example, to automatically analyse texts, recognise images, or even translate speech in real-time.<\/p>\n
A vivid example is a medium-sized company that wants to implement a customer service chatbot that can automatically understand and answer customer queries. Instead of \u201etraining\u201c the bot entirely from scratch, the company uses a pre-trained model that already possesses general language understanding. With a small amount of fine-tuning, adapted to its own products and customer questions, the chatbot works quickly and reliably.<\/p>\n
In short: Pretrained models make artificial intelligence significantly easier and faster to use \u2013 especially for companies that don't have vast amounts of data or large IT teams.<\/p>","protected":false},"excerpt":{"rendered":"