1000x this. Entity extraction from unstructured text with zero/few-shot is fantastic.
I've got a use case where I need to extract model numbers from text - these LLMs are so good at it with very little work.
I've got a use case where I need to extract model numbers from text - these LLMs are so good at it with very little work.
Example, I tried to extract skills from a job posting. ChatGPT did well, but there were skills missing.
It is good to find some entities but then you need to extend the labeling manually.
That said, with fine-tuning, `davinci-003` is _excellent_ at the types of entity extraction you're describing.