ML
ML takes us to a whole new level of making machines execute tasks the way humans do, maybe even better. Compared to the fields we introduced previously, the goal of ML is to build systems that can do things without specific instructions. In the journey of inventing artificially intelligent machines, we should take a closer look at human intelligence. When a child is born, they don’t express intelligent behavior; instead, they start to slowly become familiar with the surrounding world. There is no recorded evidence of any 1-month-old child solving differential equations or composing music. In the same way that a child learns and discovers the world, ML is concerned with building the foundational models that directly perform the tasks and learning how to do them. That’s the fundamental difference between setting up a system to carry out predefined instructions and letting it figure it out on its own.
When a child starts walking, taking things, talking, and asking...