According to PANews, the AI industry is witnessing a notable shift from centralized large-scale models to local small models and edge computing. This trend is evident in developments such as Apple Intelligence's coverage of 500 million devices, Microsoft's introduction of the Windows 11-specific small model Mu with 330 million parameters, and Google DeepMind's offline robot operations. Cloud-based AI focuses on parameter scale and training data, with financial resources being a key competitive factor. In contrast, local AI emphasizes engineering optimization and scenario adaptation, enhancing privacy, reliability, and practicality
source: https://www.binance.com/en/square/post/26392911106794?utm_source=BinanceNewsRSS