Most large language models today rely on 16- or 32-bit floating-point numbers to store neural network weights.
While this provides high precision, it results in large memory usage and intensive processing demands.
In contrast, Microsoft’s General…
Microsoft Touts CPU-Based AI Model as Energy-Efficient Alternative – Space/Science news
