There is also the use case of delegating tasks programmatically to an LLM, for example, transforming unstructured data to structured data. This task often can’t be done reliably without either 1. lots of manual work, or 2. intelligence, especially when the structure of the individual data pieces are unknown. Problems like these can be much more efficiently solved by LLMs, and if you imagine these programs are processing very large datasets, then sub-millisecond inference is crucial.
https://github.com/getmoto/moto