375 results about "Content management system" patented technology

Methods, systems, and computer program products for collaboration systems. A method for identifying selected portions of a set of content objects for use in generating a large language model (LLM) prompt comprises: identifying a content management system (CMS) wherein collaboration activities occur over time and over content objects maintained in the CMS, and wherein the CMS maintains a historical record of occurrences of the collaborator activities over the content objects. Upon receiving a natural language query from a CMS collaborator, reducing a larger corpus of content objects to a smaller corpus of context passages that are used in an LLM prompt. The smaller corpus of passages is formed using a two-phase reduction scheme whereby firstly, selected constituents from the larger corpus of content objects are identified based on CMS metadata; and then, rather than considering the larger corpus, instead considering only the selected constituents when generating the LLM prompt.

A virtual reality (VR)-based system for improving students' reading comprehension and writing skills. The system includes: a VR headset with an integrated eye-tracking system, high-resolution stereoscopic displays and spatial audio output, where the eye-tracking system detects reading patterns, fixation points and saccadic movements to assess reading engagement; a pair of motion tracking gloves with embedded pressure-sensitive capacitive sensors and haptic feedback actuators, allowing students to work with virtual reading material, perform handwriting exercises, and receive tactile reinforcement of text-based interactions; an adaptive learning module based on artificial intelligence (AI) that is configured to dynamically adjust reading complexity and writing exercises, responding to real-time metrics for interaction with students, with the AI ​​module using deep learning-based natural language processing (NLP) models to analyze reading fluency, written coherence, and syntactic complexity; a speech recognition and synthesis subsystem comprising a neural network-based acoustic model and a phoneme segmentation processor, wherein the subsystem assesses pronunciation accuracy, fluency, and articulation deviations by analyzing phonetic waveforms of spoken responses; a multimodal interactive interface that enables students to interact with virtual reading environments via a combination of hand tracking, voice commands and eye-controlled text selection, with the interface allowing students to highlight, comment on and orally summarize text content; A real-time dashboard for teacher monitoring, which is communicatively connected to the VR system. The dashboard offers educators detailed analyses of student comprehension patterns, writing progress, and AI-generated adaptive learning recommendations; and a cloud-integrated content management system (CMS) configured to store AI-curated reading materials, personalized writing assignments, and NLP-processed insights into student performance, with the CMS enabling adaptive curriculum adjustments based on students' learning trajectories.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for using a large language model and digital content items (e.g., digital files) stored in a content management system to generate workflow outputs for external computing platforms. For instance, in some embodiments, the disclosed systems receive a workflow request that includes a natural language description of an objective to be accomplished via a workflow. The disclosed systems determine an action plan for completing the workflow and executes the action plan by accessing digital content items (e.g., digital files) stored in a content management system and extracting or generating data from the contents of the digital content items. Further, the disclosed systems use a large language model to generate a workflow output that is provided to an external computing platform for use.

This disclosure describes systems that identify one or more models (e.g., large language models and / or virtual assistants) permitted to access content items stored for user accounts within a content management system. The disclosed systems can determine a model available to a user account within the content management system from among the one or more models. For example, the disclosed systems can determine one or more relationships between the user accounts within the content management system, large language models utilized by the user accounts, virtual assistants utilized by the user accounts, and content items accessed by the user accounts. The disclosed systems can determine the model for the user account according to the one or more relationships. The disclosed systems can provide a notification corresponding to the model via a user interface of a client device associated with the user account.

A multimodal content management system having a block-based data structure can include an artificial intelligence (AI)-based embeddings generator and indexer. After receiving an item update instruction that includes an object (e.g., a block content, a block property, or a block schema) identifier and an update payload, the system can transform the update payload—for example, by generating a chunk to capture at least a portion of the update payload. The chunk can correspond to a particular content modality included in the update payload. The system can generate and retrievably store a vector comprising a set of embeddings corresponding to the chunk, where the embeddings represent a vectorized portion of block content, block property, or block schema.

Systems and methods are provided herein for an advanced teleprompter with dynamic content management. The script management system (SMS) of this advanced teleprompter receives a transcript with consecutive sections of text for dynamic display at a client device and provides for dynamic display the consecutive sections of text at a first pace. After the SMS receives the transcript, the SMS ingests the prepared transcript and the given time frame for the speech, and then uses the transcript as an input for a large language model (LLM). Once the SMS detects speech from a speaker the SMS inputs the transcript and the text of the speech from the speaker into the LLM and modifies a section subsequent to the first section of text based on the output of the LLM that results from the inputs of the transcript and the text of the speech. The SMS then provides for dynamic display the modified section subsequent to the first section of text of the plurality of consecutive sections of text.

The present technology introduces a simple to use interface that integrates a mechanism to protect content items from use by one or more machine learning algorithms into interfaces of a content management system. In this way, the present technology can make it easy to protect content items where they are stored. The present technology protects against this use by providing options to obfuscate content in a way that can confound artificial intelligence systems during both training and use of the artificial intelligence systems. Additionally, the present technology can control access to content items shared using a link. The content management system can determine not to serve content items when requested by known artificial intelligence systems or services that train them. The present technology can also include automatic content protection rules that can cause the content management system to automatically protect content items when the content item is to be shared.

A multimodal content management system having a block-based data structure can include a query engine configured to perform automatic data discovery for natural language queries. The system can generate and render, at a computing device, a page comprising a graphical user interface (GUI) with a displayable item from a first block of a block-based data structure. The system can generate and bind, to the page, a schema definition comprising a first reference to the first block and a second reference to a set of blocks, wherein the first block is relationally linked to the set of blocks via the second reference. The system can use at least a portion of a natural language prompt, received at the GUI, to generate an input feature for a large language model, the input feature having a schema-question pair that includes at least a portion of the schema definition. The large language model can generate a query configured to operate on the block-based data structure.

Disclosed is an improved approach to implement metadata extraction, to extract metadata that can be used for metadata queries. The query may be applied against metadata extracted from content stored in a cloud-based content management system.

This disclosure describes systems that identify one or more models (e.g., large language models and / or virtual assistants) permitted to access content items stored for user accounts within a content management system. The disclosed systems can determine a model available to a user account within the content management system from among the one or more models. For example, the disclosed systems can determine one or more relationships between the user accounts within the content management system, large language models utilized by the user accounts, virtual assistants utilized by the user accounts, and content items accessed by the user accounts. The disclosed systems can determine the model for the user account according to the one or more relationships. The disclosed systems can provide a notification corresponding to the model via a user interface of a client device associated with the user account.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for integrating a content management system plugin with a large language model. In particular, in some embodiments, the disclosed systems integrate, into a computing environment of a large language model, a content management system plugin comprising computer code for an application programming interface (API) that facilitates operations by the large language model on content items stored in a content management system. Moreover, in some embodiments, the disclosed systems receive, from the large language model via the content management system plugin, a function call requesting performance of an API operation on a content item stored in the content management system. Furthermore, in some implementations, the disclosed systems execute the API operation on the content item stored in the content management system in response to the function call from the content management system plugin integrated within the large language model.

A collaborative content management system (CMS) is disclosed herein for generating templates for received documents. The disclosed CMS recognizes that a document selected by a user for processing was previously processed by the CMS and that a user has previously added particular overlaid fillable fields to the document. When the determination is made, the system generates a recommendation to create a template of the document with the previously added overlaid fillable fields. In some embodiments, the CMS makes the recommendation to generate a template when the user creates, in a received document, identical overlaid fillable fields or field types to those created in the previously processed document.

Disclosed embodiments provide techniques for computerized moderation, authorship recording, and distribution of social media content. Moderator-supplied tags are associated with content and supplied to a machine learning system as training data. Using blockchain, authorship is authenticated and can be converted from anonymous to non-anonymous. Collaboration among authors on content is supported with authorship lists that can contain a mix of anonymous and non-anonymous authors. Contribution limits are established to determine royalty payments for sale and rent of content.

An example for presenting educational content including converting a multimedia document into a text representation of the multimedia document, partitioning the text representation into multiple portions of text based on a text characteristic of the text representation; determining educational concepts associated with portions of text. Then, generating at least a first cluster and a second cluster where the first and second clusters include portions of text of the multiple portions of text, and each portion of respective text in the first cluster is associated with a first educational concept of the one or more educational concepts and each portion of respective text in the second cluster is associated with a second educational concept of the one or more educational concepts. From the clusters, generating a first educational content item based on the first cluster and a second educational content item based on the second cluster.

A system for evaluating responses generated by a language learning model (LLM) for a query from an end-user of a website of a website building system (WBS) includes an input processor, a content engine, a prompt generator, and a chat triad. The input processor receives the query. The content engine retrieves relevant content from a content management system (CMS) of the WBS. The prompt generator prompts the LLM to generate an answer according to the query and content. The chat triad evaluates relevance and accuracy of the generated answer by assigning relevance values to relationships between the query, content, and answer; determining a combined score; evaluating the score against criteria; and determining whether to present the answer to the end-user.

A multimodal content management system having a block-based data structure can include a question and answer (Q&A) assistant (e.g., a chatbot). The system can receive a natural language prompt and generate a result set. The result set can include blocks (e.g., blocks that include responsive content, including content in different modalities). The system can apply a set of authority signals to items in the result set to generate a ranked result set. The authority signals can be generated using aspects of the block-based data structure, such as block properties. The system can cause the Q&A assistant to return a set of hyperlinks to the ranked result set items. The hyperlinks can be operable to enable navigation to block content without closing the Q&A assistant.

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and searching a hybrid search index. In some embodiments, the disclosed systems generate a hybrid search index that comprises one or more content items stored at a content management system or at external network locations linked to the content management system via software connectors along with world state data associated with the one or more content items. The disclosed systems can generate a search result from the hybrid search index in response to receiving a search query of the hybrid search index. In some cases, the disclosed systems can rank one or more content items included in the search result based on observation layer data of the one or more content items.

The invention discloses a multi-channel integrated marketing contact content management system and method, and relates to the technical field of marketing contact content auditing, and the method comprises the steps: creating a plurality of marketing contacts in a unified management platform, and configuring a delivery channel; establishing a design specification rule base; receiving a marketing content picture uploaded by the user and associating the target channel with the contact; calling a rule base on the basis of a contact type, starting an AI auditing engine to carry out automatic compliance inspection on the picture, including preprocessing, layout identification, character extraction and character number statistics, font and character size identification, color identification and functional element detection, and comparing an identification result with a rule to generate an auditing result; and approving the delivery of compliant content and tracking the effect, and optimizing an AI engine and a rule base based on data. According to the method, AI intelligent auditing is embedded into the marketing content publishing process, multi-channel integrated management and intelligent auditing of the marketing content are achieved, the auditing efficiency and accuracy are remarkably improved, it is guaranteed that the content is standard and unified, and the labor cost is reduced.

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and searching a hybrid search index. In some embodiments, the disclosed systems generate a hybrid search index that comprises one or more content items stored at a content management system or at external network locations linked to the content management system via software connectors along with world state data associated with the one or more content items. The disclosed systems can generate a search result from the hybrid search index in response to receiving a search query of the hybrid search index. In some cases, the disclosed systems can rank one or more content items included in the search result based on observation layer data of the one or more content items.

Disclosed is an improved approach to implement natural language processing for metadata queries. The query may be applied against metadata for content stored in a cloud-based content management system.

One embodiment of a system comprises a client device and a remote content management system. The client device comprises a synchronization manager that maintains a remote virtual model that models a synchronization state of a remote peer resource at the content management system and a local virtual model that models a synchronization state of a local peer resource in the local file system. The synchronization manager determines that the remote peer resource and local peer resource are out of sync based on a comparison of the remote virtual model and the local virtual model and synchronizes changes from the local cache to the content management system to update the remote peer resource or synchronizes changes from the content management system to update the local peer resource.

This disclosure describes systems that identify one or more models (e.g., large language models and / or virtual assistants) permitted to access content items stored for user accounts within a content management system. The disclosed systems can determine a model available to a user account within the content management system from among the one or more models. For example, the disclosed systems can determine one or more relationships between the user accounts within the content management system, large language models utilized by the user accounts, virtual assistants utilized by the user accounts, and content items accessed by the user accounts. The disclosed systems can determine the model for the user account according to the one or more relationships. The disclosed systems can provide a notification corresponding to the model via a user interface of a client device associated with the user account.

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating a dynamic facet by using a large language model. For example, the disclosed systems extract raw facet data from a plurality of content items stored in a content management system. In addition, the disclosed systems determine one or more facet content groups by grouping the plurality of content items according to the raw facet data. Further, the disclosed systems generate a facet prompt from the one or more facet content groups. Moreover, the disclosed systems generate a dynamic facet by providing the facet prompt to a large language model.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and displaying a preview tile. In particular, in one or more embodiments, the disclosed systems select content item segments from a content item stored for a content management system and generate a preview tile by generating hotspot frames that reflect digital content in the content items segments. Further, in one or more embodiments, the disclosed systems provide the preview tile on a client device and, based on an input location relative to the preview tile, determine a hotspot frame to display within the preview tile.

A multimodal content management system having a block-based data structure can include an artificial intelligence (AI)-based code unit generator that can generate code units executable against the block-based data structure to provide information requested by users. For example, the code units can be generated in response to natural language prompts received via a question and answer Q&A assistant engine. A neural network can be trained on block types, block dependencies, block content values, block content types, and / or block format. The neural network can receive a set of tokens generated based on a natural language prompt and generate one or more query strings to be included in a particular code unit. The tokens can be indicative of block properties, content, or other items in the block-based data structure. The code unit can be structured to execute more than one query against the block-based data structure such that a particular result set can include content items of different modalities.

Systems and methods for controlling visibility of user identifying information. In the event that documents or records are shared between different business partners or business organizations, usernames appearing on the documents, notification or records may be selectively masked to preserve the user identity security rules.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and providing content update synopses using a large language model. In particular, in some embodiments, the disclosed systems determine, for a collaborative workspace of a content management system, activity metadata defining user account activity across a plurality of user accounts performing actions within the collaborative workspace. Further, the disclosed systems can generate, from the activity metadata, a text representation of the user account activity indicating the actions within the collaborative workspace that occur between a first timestamp and a second timestamp. Additionally, the disclosed systems can generate a summary generation prompt from the text representation of the user account activity. Moreover, the disclosed systems can generate an activity summary for the user account activity within the collaborative workspace between the first timestamp and the second timestamp by providing the summary generation prompt to a large language model.

The present invention relates to an augmented reality-based system for real estate exploration and property management, comprising a mobile application, a cloud-based server, a web-based platform and a content management system (CMS). The mobile application, utilizing an AR engine, overlays property data, virtual tours, Al-staged interiors, and 3D models onto the camera feed of a smart device based on geolocation and orientation.

Aspects of the present disclosure relate to hierarchical content organization techniques, which may thus enable improved content indexing and / or retrieval, among other benefits. In examples, a content platform maintains a content hierarchy, where, for example, each category within the content hierarchy has an associated set of categories / subcategories. It will be appreciated that any number of hierarchical levels may be used. Accordingly, a post or other content item may be associated with one or more categories / subcategories (e.g., one or more nodes) of the content hierarchy, thereby facilitating subsequent retrieval of the content (e.g., responsive to a user query and / or to provide to a search platform). Thus, in contrast to discussion boards and other content management systems, the disclosed aspects ensure content is organized when created, thereby improving later retrieval and / or any of a variety of subsequent processing, among other benefits.

We provide new technology for managing content using blockchain. [Solution] The content management system 0 includes an acquisition unit, a score calculation unit, a reception unit, and a point calculation unit. The acquisition unit acquires SNS (social networking service) information about the user's SNS. The score calculation unit calculates a credit score that indicates the user's creditworthiness based on the user's SNS information. The SNS information includes exchange relationship information regarding the user's exchange relationships on the SNS. The reception unit receives a review score for the content from the user. The point calculation unit calculates evaluation points for the user's content based on the trust score and the review score, and stores the evaluation points in the blockchain.