Pyton, easiest to use to actually make progress. C++ is probably just unecessarily difficult.
Pytorch, no reason to struggle through a new framework.
Expand on what cloud deployment would entail.
Basically a gpt copy, so facts.
Building the network and training structure, in parallell fix a database to train on and then later on build a website or app to be able to actually use the AI.
@1337Elm We need some roadmap or project layout. My main questions about the project right now:
Good link i've found: https://www.freecodecamp.org/news/how-to-build-a-large-language-model-from-scratch-using-python/ https://www.geeksforgeeks.org/large-language-model-llm/ https://web.stanford.edu/~jurafsky/slp3/10.pdf https://uoft-csc413.github.io/2023/assets/tutorials/tut09_llm.pdf