Are you actually making your own NNs in 2023?

I'm finding the task in my role are bifurcating into one of two things.
1. Simple Statistical/ML Model. Linear Models, maybe SVM or similar. Classification or interpretation of data with 'standard' models.

2. Using an open source / proprietary NN model. OpenAI, huggingface for text generation, image generation, embeddings etc. MAYBE I fine tune something, but probably just use off-the-shelf APIs or models.


Don't get me wrong, I'm not complaining, I enjoy both these things, and writing your own tensorflow …

classification data datascience embeddings etc huggingface image image generation interpretation linear making nns openai open source role simple standard statistical svm text text generation