CNIPA.AI
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기록

EQUIPPING MACHINE LEARNING MODELS WITH SOCIAL NETWORK KNOWLEDGE, VIDEO EDITING VIA FACTORIZED DIFFUSION DISTILLATION & EFFICIENT DEPTH STABILIZER FOR MIXED REALITY & AUGMENTED REALITY

발명심사 중
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

Hong Yan; Adam Polyak; Yaniv Nechemia Taigman; Devi Niru Parikh; Rakesh Ranjan; Hao Jiang; Shelly Sheynin; Uriel Singer; Yuval Kirstain; Jingqing Huang; Amit Zohar

IPC 분류

H4N 21/431G6N 20/G6T 11/60

CPC 분류

H4N21/4318G6N20/G6T11/60

Various systems, methods, and devices are described for utilizing artificial intelligence (AI) bot (e.g., a chatbot) to fetch or create content associated with a third-party platform based on an input associated with an electronic device. In an example, systems and methods of AI bot fetching or creating content may include receiving an input, via a user device. The input may be textual, audible, or any other suitable method. Based on the input, one or more content items may be fetched or created. The machine learning model may be utilized to determine context associated with the input. The machine leaning model may determine a number of content items associated with the input and data sources related to the retrieval generators. A result may be presented to a user, where the result may comprise the one or more content items determined.

원문 (중국어)

Various systems, methods, and devices are described for utilizing artificial intelligence (AI) bot (e.g., a chatbot) to fetch or create content associated with a third-party platform based on an input associated with an electronic device. In an example, systems and methods of AI bot fetching or creating content may include receiving an input, via a user device. The input may be textual, audible, or any other suitable method. Based on the input, one or more content items may be fetched or created. The machine learning model may be utilized to determine context associated with the input. The machine leaning model may determine a number of content items associated with the input and data sources related to the retrieval generators. A result may be presented to a user, where the result may comprise the one or more content items determined.