Why doesn't AMD make a similar framework than CUDA? Is this so much of a task? But if that increases their market share that should be financially viable, no?
If I understand correctly companies like OpenAI could run LLMs without having access to the users new inputs. It seems to me new users data are really useful for further training of the models.
Can they still train the models over encrypted data? If this new data is not usable, why would the companies still want it?
Let's assume they can train the LLMs over encrypted data, what if a large number of users inject some crappy data (like it has been seen with the Tay chatbot story). How can the companies still keep a way to clean the data?
What is so special about IUT? They say the theory is "out of this world" but in what sense exactly? Did Mochizuki found a new interesting way to look at some ideas?
>Would managing the git repo include CI/CD?
Not really, we already have some people who manage our Jenkins instance.
>Do you have a CS degree?
I don't, I have a scientific background and then I did a coding bootcamp. I don't really plan to get a CS degree since I already have hobbies that take all my free time.
Do you have any insights on what an analyst is doing in a company? Is it different from what I do now?
Do you seriously use that?