According to DeepLearning.AI, researchers have demonstrated that large language models (LLMs) can be trained using 4-bit FP4 precision for matrix multiplications, which account for 95% of training computation, without any loss of accuracy compared to the standard BF16 format. This breakthrough dramatically reduces computational requirements and hardware costs, potentially accelerating AI-powered blockchain and cryptocurrency analytics platforms by lowering entry barriers for decentralized AI projects (Source: DeepLearning.AI, May 31, 2025).