Latency
Latency is the time it takes for a model or system to respond after receiving a request.
Category
These terms cover response time, grouped requests, smaller numeric formats, and cached outputs.
Terms that describe how AI systems answer requests efficiently.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Latency is the time it takes for a model or system to respond after receiving a request.
Batching combines multiple inputs so a system can process them together more efficiently.
Quantization reduces the precision of model numbers to save memory and speed up inference.
A cache stores previous results so repeated requests can be served faster.