Think of having an AI trained on a specific set of data, a product's documentation website, for example. Combine that with other training data on writing applications in various languages, and now you can ask questions of that set of documentation have the AI write code for your users. No more searching through the documentation, just ask natural questions of the chatbot, and it generates a response that is on topic and/or similar to what you asked about
Search is fundamental in various applications, including recommendation engines, image recognition, and Natural Language Processing(NLP). The ability to efficiently find related items in vast datasets makes similarity search a powerful tool in modern data analysis and machine learning. This can be used in product catalogs, video/music streaming sites, e-commerce sites, etm.
Knowing a customer’s past purchases, and what other customers searched for, clicked on, and rated well, an AI-enhanced recommendation could deliver information, websites, images, and videos more pertinent to customer needs than a simple search.