RNN

Definitions

RNN is a recurrent neural network that reuses state across time steps. It is commonly used for language, audio, and time-series sequence modeling, where teams need predictable behavior under real workloads rather than toy examples. Practitioners pay attention to sequence length, gradient behavior, and latency, because those factors usually determine whether the approach improves quality, latency, reliability, or operating cost in production.
In plain English: RNN is an AI concept teams use to train models, guide predictions, or make model behavior more reliable and easier to control in practice.
Example: "We evaluated RNN in the new model pipeline because the baseline was plateauing; once it was wired into training and evaluation, quality improved enough to justify rolling it into the next release."