Question: The half - precision floating - point system is often used in machine learning applications; to train machine learning algorithms, a large amount of calculation

The half-precision floating-point system is often used in machine learning applications; to train machine learning algorithms, a large amount of calculation is necessary, but can be done without a high level of precision. This floating-point system uses only five bits for the exponent and ten bits for the significand, which can make it significantly faster than double precision.
Half-precision numbers are represented as
with
and exponent
.
What is the largest value of
such that all integers in the range
are exactly representable in this floating point system? Your answer should be a decimal value.

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