Correct answer should be option b) --> s. section 1.6 in syllabus "ISTQB_CT-AI_Syllabus_v1.0":
ML typically benefits from hardware that supports the following attributes:
• Low-precision arithmetic: This uses fewer bits for computation (e.g., 8 instead of 32 bits,
which is usually all that is needed for ML).
• The ability to work with large data structures (e.g., to support matrix multiplication).
• Massively parallel (concurrent) processing.
General-purpose CPUs provide support for complex operations that are not typically required for ML
applications and only provide a few cores.
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Svarog
3 weeks, 4 days ago