I totally agree with your statement. I consider LLMs imprecise in any case, it's not a perfect/exact science, just statistics. I only use LLMs for tasks where a

I totally agree with your statement. I consider LLMs imprecise in any case, it's not a perfect/exact science, just statistics. I only use LLMs for tasks where an error margin can be allowed. In that perspective I'm totally fine with using a 5 MB LLM like this one : https://neuml.hashnode.dev/train-a-language-model-from-scratch https://neuml.hashnode.dev/train-a-language-model-from-scrat...