7 Jan
2023
7 Jan
'23
6:31 a.m.
Step 1: - collect a couple examples of numpy api usage from the docs or memory - feed these into a simple code system that writes them to a file or database associated with "numpy" - interface them as a prompt to a language model - see how well it does before it needs more prompts than it has context one could pick the examples intelligently using an active learning library but i think it's more productive to then consider moving to adapting or finetuning i'm really slow, so i expect step 1 to be a personal milestone