What is the format of 8-bit integers in vector dimensions?

The correct choice, which is INT8, represents the format for 8-bit integers in vector dimensions. INT8 is specifically designed to hold 8-bit signed integer values, allowing it to store integer data in a compact form, using only 1 byte of memory for each integer. This format is particularly useful for applications involving machine learning and AI, where precision is not always paramount, and efficiency in storage and computation can be critical.

In contrast, the other options involve different data types and sizes that do not align with the requirements for 8-bit integers. FLOAT64 and FLOAT32 are floating-point formats that require more memory and are used for representing real numbers with larger value distributions, making them unsuitable for representing 8-bit integers. The BINARY format, which consists of packed UINT8 bytes, implies a different usage where each bit represents a value, rather than directly encoding an integer variable like INT8 does. Thus, INT8 remains the appropriate format for representing 8-bit integers in vector dimensions.