Network3

DePIN & AI project Network3 announces the launch of local large language model capabilities to promote edge AI development

ChainCatcher news: At the R3al World DePIN Summit of Token2049 in Singapore, Rock, the founder of the DePIN & AI project Network3, announced the launch plan for its new local large language model (LLM) feature, which will significantly enhance the efficiency and performance of edge AI technology.Rock pointed out that although edge AI has deeply integrated into people's daily lives, the complexity and importance behind it are often overlooked. For example, the ability of smartphones to perform data processing tasks at night fully demonstrates the potential of edge devices to utilize idle resources for efficient computing. With the newly launched local LLM feature, Network3 will significantly optimize the efficient computing capabilities of smart devices during idle times, especially for local inference and processing without relying on cloud computing. This not only greatly reduces bandwidth consumption but also enhances data security and privacy protection.Network3 will provide strong support and vast resources for edge AI by integrating global idle edge device resources. The upcoming local LLM feature will allow users to seamlessly enjoy AI chat services on mobile devices without relying on expensive cloud computing infrastructure. Additionally, users can earn tokens by interacting with the model and customize and optimize algorithms based on personal needs, enhancing the personalized experience. According to Network3, the beta version is planned to be released in October, at which time users can download it from the official website for experience.It is reported that Network3 is helping global AI developers efficiently, conveniently, and economically perform large-scale inference, training, or validation of models by building an AI Layer2. Previously, it was announced that Network3 had completed $5.5 million in pre-seed and seed round financing, and the next round of financing has already begun, with several leading institutions participating.
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