Network3 Unveils Local LLM Feature for Enhanced Edge AI at Token2049

At the R3al World DePIN Summit in Singapore during Token2049, Rock Zhang, founder of DePIN & AI project Network3, announced the upcoming launch of their new local Large Language Model (LLM) feature. This feature promises to significantly boost the efficiency and performance of edge AI technology.

Rock emphasized that while edge AI is deeply integrated into our daily lives, its complexity and significance are often overlooked. For example, smartphones utilizing idle resources for data processing at night demonstrates the potential of edge devices for efficient computing. Network3's new local LLM feature will significantly enhance the efficient computing capabilities of smart devices during idle time, particularly for local inference and processing without relying on cloud computing. This not only drastically reduces bandwidth consumption but also enhances data security and privacy protection.

Network3 will leverage the integration of global idle edge device resources to provide robust support and vast resources for edge AI. The upcoming local LLM feature will allow users to seamlessly enjoy AI chat services on their mobile devices without depending on expensive cloud computing infrastructure. Additionally, users can earn tokens through interactions with the model and customize and optimize the algorithm based on their needs for a personalized experience. Network3 plans to release the beta version in October, where users can download and experience it through the official website.

Network3 is building an AI Layer2, which aids global AI developers in efficiently, conveniently, and economically performing large-scale inference, training, or validation of models. The company has previously completed $5.5 million in pre-seed and seed funding rounds, and the next round is underway with several leading institutions participating.