That’s a fascinating direction to explore. It turns out that translating instructions into AI/ML tasks and wrapping it with Python code is easy to build [0]. It starts with LLM decididing what type of task should be performed, then there’s a search over Hugging Face catalog, inference on a model (picked by heuristics) with Inference Endpoints and parsing the output to most relevant Python type [1]

[0] https://github.com/jmaczan/text-to-ml

[1] Page four - https://pagedout.institute/download/PagedOut_004_beta1.pdf#p...