How Gradient-Free Training Could Decentralize AI

Large language models are becoming more efficient through quantization and distillation, allowing them to run on low-power devices. This trend is widening the gap between resource-intensive training and lightweight inference, prompting exploration of gradient-free methods and decentralized training to potentially democratize AI development and reduce costs.