What kind of tasks can transformers solve? 1. Translation. Given the sentence in one language, transformers can generate sentences in another language. This is the traditional use case. 2. Image Classification. In 2020, Google introduced vision transformers that can determine the category and image belongs. 3. Speech Recognition. This involves the conversion of speech to text. WaveNet 2.0 is a transformer-based model that solves this problem. 4. Recommendation Systems. Given a sequence or a session of items viewed by a user, the next item or set of items can be recommended. And video's transformers for rec is an open source implementation of this concept. 5. Playing Chess. Given the state of the board, the transformer can determine the next best move. In fact, we can find to an a language model, like GPT-4, which is based on transformers, to learn this task.