This isn't a problem domain that models are capable of solving.
Ultimately in two party communications, computers are mostly constrained by determinism, and the resulting halting/undecidability problems (in core computer science).
All AI Models are really bad at solving stochastic types of problems. They can approximate generally only to a point after which it falls off. Temporal consistency im time series data is also a major weakness. Throw the two together, and models can't really solve it. They can pattern match to a degree but that is the limit.
Because you have to decide in less than 1ms, using AI is too slow in that context
You can delay the first request from an IP by a lot more than that without causing problems.
Train with a bdt.
This isn't a problem domain that models are capable of solving.
Ultimately in two party communications, computers are mostly constrained by determinism, and the resulting halting/undecidability problems (in core computer science).
All AI Models are really bad at solving stochastic types of problems. They can approximate generally only to a point after which it falls off. Temporal consistency im time series data is also a major weakness. Throw the two together, and models can't really solve it. They can pattern match to a degree but that is the limit.
When all you have is a Markov generator and $5 billion, every problem starts to look like a prompt. Or something like that.