I Engineer AI, ML, DL...
There is a reason that Machine Learning become so frustrating, I will tell you as an engineer. AI are generally formed on the basis of Deep learning, as such they rely on a huge amount of trial and error. DevOps, MLOps, etc become important because they create an aura of synergy between the other AI engineers. Without this, there is little to no coordination, management and planning between the ideal of work, and the active process wherein we engineer ai on a daily basis.
Biting the hand that feeds IT
