Hey Eric, good job, summarizing (sort of and without all the drama) their journey so far, and you avoided getting to technical 👍Looking forward to read your final part!
Before you get too far into it, you need to know about I/O reducing tech stacks like Fractal that are delivering quantum speed on current hardware today - and are changing the topology of what is needed for A.I.
Great work to bring this all together in a digestable manner. I'm curious on two main things...what is deemed a mistake by the model? How is accuracy and the "right" answer defined? I'm curious if you came across anything in the neural network theories or how OpenAI talks about this. Thanks!
Great read... looking forward to your final part.
Hey Eric, good job, summarizing (sort of and without all the drama) their journey so far, and you avoided getting to technical 👍Looking forward to read your final part!
Before you get too far into it, you need to know about I/O reducing tech stacks like Fractal that are delivering quantum speed on current hardware today - and are changing the topology of what is needed for A.I.
Great work to bring this all together in a digestable manner. I'm curious on two main things...what is deemed a mistake by the model? How is accuracy and the "right" answer defined? I'm curious if you came across anything in the neural network theories or how OpenAI talks about this. Thanks!