great list! as someone who's also trying to map the ai engineering landscape... i wonder what u think of adding other parts of the AI stack (https://www.latent.space/p/dec-2023). right now you have 4 categories and those are all in the text/code-heavy RAG/Agent world, but i think the space has broadened out a bit as i see it. for example, you could add:

- finetuning/other post-pretrain model tools (axolotl, mergekit <- all made and used by people without traditional ML engineer/researcher background)

- multimodal models/frameworks like vocode and comfyui

- AI UX tools like vercel ai sdk

- synthetic data generation tooling? whatever the nous pple have made

open question whether inference frameworks like llama.cpp/ollama or vllm and tgi count as AI Eng tools? again given the background of ggeranov and the students behind the other projects, arguably yes but ofc it starts to bleed into classical mlops here. (update: i see u have them in the "model development" category, ok fair)