It humorously calls this family the Model Zoo because one is like the size of a fly's brain and the other the size of a ...

1. Model Compression And Quantization One way to make SLMs work on edge devices is through model compression. This reduces the model’s size without losing much performance.

However, model compression is not just about costs. Smaller models consume less energy, which translates to longer battery life in mobile devices and reduced power consumption in data centers.

Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while maintaining model performance, according ...

But their ability to distill complex multi-dimensional systems into something more compact and easier to work with also makes them a promising avenue for compressing large AI models. Multiverse has ...

Instead the compression challenge is being used as a means of advancing model research. It provides an objective measurement with good theoretical / philosophical underpinnings.

CompactifAI is a quantum-inspired compression algorithm that reduces the size of existing AI models without sacrificing those models’ performance, Orús said.