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Discover Ludwig"during runtime" is an acceptable phrase for written English.
It is typically used in the context of programming, referring to a program's state or behavior while it is running (as opposed to before or after it is executed). For example, "The application can be configured during runtime."
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Accelerated convergence and more uniform error can be achieved without additional computations during runtime.
Resource constraints during runtime are a crucial aspect of real world applications of machine learning.
A module is a shared object that is dynamically linked into an application during runtime.
This is different from FILTECH, which uses algorithms to build a table during runtime.
Dependability of technical plants will increase if control behaviour can be adapted during runtime.
Furthermore, the system is able to learn new object words during runtime.
The static scheme does not allow unlocking blocks during runtime, but the dynamic scheme does.
Thus, exchange of value represented within VNMs could be monitored and evaluated during runtime.
Adjustable autonomy means changing the autonomy of the agents during runtime as a response to changes in the environment.
The use of FPGA facilitates to modify the system parameters even during runtime depending on the changes in user's requirements.
In this way, poor a priori assumptions about worst-case execution times are detected and corrected continuously during runtime.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com