Recently, it was reported that the byte beat user growth team had launched an AI product called “Sniffing”, which was developed by a fully-funded subsidiary, Bamboo Network Technology Ltd. in Beijing, with the aim of providing food-related smart guides to users and currently supporting only small-scale testing on the tremors applet.
`Target’ provides a personalized food referral and intelligence guidance service based on the powerful natural language processing and multi-modular capability of the Bean Packer model. Users can quickly generate accurate restaurant recommendations, suggestions or preferential information based on user location, preferences and real-time data through text or voice input requirements, such as “what’s in the vicinity suitable for a gathering” or “recommended for low-calorie desserts”.
According to the informed source, the `sniffing’ is a test of the twitching life service in conjunction with the AI-recommended function, which is intended to enhance user experience and expand local life service ecology. The AID-driven recommendations for dinners are more real-time and scenery-oriented than the traditional foods platform, combining the short video content ecology of the loudspeaker, and users are able to view the restaurant ‘ s video evaluation or site content to enhance the basis for decision-making.
As a generic AI model, self-researched by-temperature, beans packs perform well in dialogue, creative and recommended scenes, and their low-cost and efficient characteristics support the light quantification of the deployment of meals. In Beijing, the developer, Bamboo Network Technology Ltd, was established in 2018 as a byte-jumping wholly-funded subsidiary, focusing on the development of AI applications, prior to its involvement in the incubation of a number of innovative projects in tremors. The meal selection, which is carried by a shivering applet, takes full advantage of the flow advantage of the more than 800 million live users, while reducing the cost and difficulty of replicating independent App development.
In recent years, tremors of living services have emerged rapidly through group purchases, take-outs and shop visits, in competition with the United States of America and the hungry. The roll-out has further enriched its service ecology by enhancing user viscosity and conversion rates through AI technology. However, informed sources indicate that for the time being, the probes are limited to dithered minor programmes, with limited functionality and coverage, and it is not certain whether they will be extended to stand-alone App or more platforms.
