Dell Products Inc.

Zijia Wang

Zhen Jia

Min Gong

Sanping Li

Qiang Chen

Jinpeng Liu

Deepaganesh Paulraj

Jiacheng Ni

Tianxiang Chen

Qi Bao

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating text content. The method includes determining a set containing a plurality of tokens based on a key. The method further includes based on the set, generating text content for indicating the key by a generative pre-trained model, wherein a source of the text content is verified by the text content. According to embodiments of the present disclosure, a unique watermark can be formed in the generated text content in a way that is not perceptible to a user, thereby identifying and verifying the source of the text content according to the formed watermark.

Method, electronic device, and computer program product for generating text content

A method in one embodiment comprises: communicating, in response to receiving configuration information, with a remote attestation device to attest a trusted execution environment (TEE) of a central node device, the configuration information including a division manner for training sample data for model training; establishing a secure channel with one or more edge node devices in response to passing the attestation for the TEE, wherein the one or more edge node devices each have a TEE; and performing the following operations iteratively until a predetermined condition is satisfied: selecting, from the one or more edge node devices, at least one edge node device for training a model; updating a global model parameter based on a training result received over the secure channel from the selected at least one edge node device; and sending, to the one or more edge node devices, the updated global model parameter over the secure channel.

Model training method, central node device, and computer program product

Illustrative embodiments of the disclosure include a method, device, and computer program product for generating a video database. The method includes determining a contextual feature indicating contextual information of a video. The method further includes determining, for a video frame in the video, an audio feature indicating voice text and an ambient sound associated with the video frame. The method further includes determining, for the video frame, a visual feature of the video frame. The method further includes generating a video database based on the contextual feature, the audio feature, and the visual feature. In this way, video features stored in the video database more accurately reflect the real meaning and contextual information of the video, and the generated video database can provide matching results that are more accurate and better conform with user demands for both a video retrieval system and a recommendation system, thus improving the user experience.

Method, device, and computer program product for generating video database

A method in one embodiment includes acquiring a first public key and a first private key of a first user and a second public key and a second private key of a second user. The method further includes determining a first set from a glossary based on the first public key and the first private key, wherein the glossary is a set of a group of predefined tokens in a generative pre-training model. The method further includes determining a second set from the glossary based on the second public key and the second private key. The method further includes determining a set containing a plurality of tokens based on the first set and the second set. The method further includes generating text content by the generative pre-training model based on the set. According to embodiments of the present disclosure, a unique watermark can be formed in the generated text content.

Method, electronic device, and program product for generating text content for multi-party collaboration

A method for managing a framework includes: receiving, by a GUI, a query that is sent to a first module; analyzing, by the first module, the query to infer intention; making, by the first module, a determination that the intention is not searching for an object in a database; sending, by the first module, the query to a second module; transforming, by the second module, the query into a vector that is sent to a third module; performing, by the third module and using the vector, a search for a nearest image in the database; identifying, by the third module, a path associated with the nearest image, which is sent to an analyzer, in which the analyzer further sends the path to a fourth module; and fetching, by the fourth module and based on the path, an image from a store, which is sent to the GUI.

Method and system for a text-vision retrieval framework

Methods and systems for managing an interactive user assistance system that provides a rich multimodal content experience for a user are disclosed. In particular, hyperlinks may be included in responses generated for the user's questions to the system. These hyperlinks may take the user to one or more videos or video clips containing content that would assist the user in better resolving the user's questions. The videos or video clips may be stored in a hierarchically managed video clip pool that provides efficient retrieval and association with related content for enhancing the user's access to such multimodal content.

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London, United Kingdom

Zijia Wang