Lenovo's AI assistant 'Xiao Le”, which will be launched in 3 months, will support natural language interaction

According to news from this site on January 18, at the Lenovo Savior and Consumer Ecology New Product Launch held yesterday (January 17), Lenovo announced a new AI assistant-Xiao Le.

Lenovo calls 2024 the first year of AI PC, and revealed that subsequent new products will embed AI end-side local large models. They believe that AI PC has five core features including local hybrid AI computing power, personal Agent natural language interaction, embedded personal large model, open AI application ecosystem, and device-level personal data & privacy security protection.

According to reports, Lenovo’s AI large model strategy adopts a hybrid end-side and cloud AI large model. In addition to AI PCs, it will also bring AI mobile phones, AI tablets and AIoT in the future. Lenovo named its new AI voice assistant "Xiao Le", supports "companion-state natural language interactive UI" , and can wake up with one click, translate documents, create PPT, etc. It is expected that The official version will be launched three months later.

This site noticed that in October last year, Yang Yuanqing, chairman and CEO of Lenovo Group, demonstrated Lenovo’s first AI PC, large model compression technology, and artificial intelligence twin (AI Twin). ) and a series of artificial intelligence achievements.

Yang Yuanqing said that smart devices are like racing cars and are the ultimate carrier for artificial intelligence to reach end users.

The personal computers of the future will be artificial intelligence computers, the mobile phones of the future will be artificial intelligence mobile phones, and the workstations of the future will be artificial intelligence workstations.

At the same time, local knowledge bases will be built on these artificial intelligence-enabled devices and edge devices to better understand users. Personal large models will use personal data stored on devices or home servers for inference. Users' personal data is never shared or sent to the public cloud unless authorized by the user. It can even predict tasks based on the user's mental model and find solutions autonomously.

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