Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for preparing embedding matrices for compression, storage, and reuse. For example, the disclosed systems can receive or generate an embedding matrix comprising a plurality of embedding vectors representing a text content item, the plurality of embedding vectors exhibiting locality in a first dimension of the embedding matrix. The disclosed systems can apply a decorrelating transform along the first dimension of the embedding matrix to generate a transformed embedding matrix by compacting energy distributed across the embedding matrix in the first dimension into a sub-portion of the transformed embedding matrix. Further, the disclosed systems can compress the transformed embedding matrix by performing a compression operation to generate a compressed embedding matrix, and can store the compressed embedding matrix for the text content item.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a synthesized connector that defines a single data ingestion path with shared access control for multiple users within a group or organization. In particular, the disclosed systems can identify a set of content items retrieved through individual user connectors associated with user accounts belonging to the same group. Based on the identified content items, the disclosed systems can generate a synthesized connector that unifies the individual connectors in a single, group-scoped ingestion path that governs access control for all associated users. Additionally, the disclosed systems can deduplicate shared content data across the synthesized connectors to generate a synthesized content item. The disclosed systems can update a data repository (e.g.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for retrieving digital content from external applications through a software connection. In some embodiments, the disclosed systems identify a software connector comprising a plurality of federated connections linking a content management system and an external application, the plurality of federated connections associated with respective user accounts of the content management system and connecting the respective user accounts to the external application through the software connector. The disclosed systems, use a sync engine to crawl the plurality of federated connections and generate a content graph comprising nodes representing digital content from the external application to sync with the content management system. The disclosed systems request, by the sync engine using the content graph, the digital content from the external application to the content management system through the software connector.

Abstract: The present technology provides a versatile content management system that can also support bi-directional synchronization of an organization account. The organization account is maintained as a plurality of root directories that can be mounted under an organization directory top-level folder. The organization directory top-level folder can appear in a user account's view of the organization account, by does not actually exist as a directory in the content management system. The organization directory top-level folder can be a folder created on a client device in which root directories of an organization account are mounted, but the organization directory top-level folder is not a synchronized directory. The organization directory top-level folder gives the appearance of a single directory structure for an organization even though the organization content is actually organized into the plurality of root directories.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating meeting insights based on media data and device input data. In one or more embodiments, the system analyzes media data and inputs to client devices associated with a meeting to determine a portion of the meeting that is relevant for a user. In one or more embodiments, the system generates a meeting summary, meeting highlights, or action items related to the media data to provide to the client device. In one or more embodiments, the system also uses the summary, highlights, or action items to train a machine-learning model for use with future meetings.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and visualizing effectivity scores from features extracted for different data of a time period. The disclosed systems generate a meeting effectivity score, a flow state effectivity score, and/or a work about work effectivity score that reflect measures of effectiveness or productivity. To generate the effectivity scores, the disclosed systems can leverage software connectors that extract features relevant to the respective effectivity scores for inputting into effectivity-score-generating models. Based on the effectivity scores, the disclosed systems can further generate recommendations for improving one or more of the effectivity scores. The disclosed systems can also generate and provide graphical visualizations of effectivity scores for display on a client device, together with recommendations for improving the effectivity scores.

Abstract: A content management system for collecting files from one or more submitters in a collection folder. A collector, who generates the collection folder, can invite one or more submitters to submit one or more files to the collection folder in response to a public file request. The one or more submitters have limited rights to the collection folder. The limited rights can include uploading rights and prohibiting a submitter from viewing files that other submitters associated with the collection folder submitted. Thus, the collection folder is able to store files from the one or more submitters, but prevent them from viewing other's submissions.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and managing multilocational data blocks, generating and summarizing content blocks within a virtual space interface, and generating and providing a content block browser as part of a virtual space platform. In some embodiments, the disclosed systems generate a multilocational data block that includes a block identifier that is tied to a source identifier for embedding digital content from a network location indicated by the source identifier. The disclosed systems can also generate block summaries from content blocks for presenting and modifying digital content embedded within the content blocks via block identifiers and source identifiers. In some embodiments, the content block system can provide a content-block-based web browser in the form of a virtual space that includes embedded content blocks that integrate webpage functionality.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and/or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders.

Abstract: Generation of filtering rules for incoming messages can be activated by a user through a gesture-based input. When the user activates filtering rule generation, the message management service can cause a user device to display a prompt requesting additional data to be used to generate the filtering rule. The gesture can be a swipe and hold gesture, where the swipe is associated with an action (archiving, deleting, deferring, or adding the message to a list), and the swipe and hold action can activate filtering rule generation associated with the action.

Abstract: The present technology pertains to a organization directory hosted by a synchronized content management system. The corporate directory can provide access to user accounts for all members of the organization to all content items in the organization directory on the respective file systems of the members' client devices. Members can reach any content item at the same path as other members relative to the organization directory root on their respective client device. In some embodiments novel access permissions are granted to maintain path consistency.

Abstract: The present technology enhances workload management of data storage systems by using an internal copy function and/or a zone-append technology. The internal copy function is used, e.g., in merge operations to move data between locations on a disk without using off-disk resources (e.g., processing or memory of a CPU). Zone-append technology uses nameless writes (e.g., write instruction without an assigned destination address on the disk) to combine IO units from different threads to be written to a common zone of a disk (e.g., a shingled magnetic recording (SMR) disk). Sequential addresses are assigned to IO units from different threads based on their order in the write queue, reducing the latency and seek time typically associated with random writes. The zone-append technology, e.g., uses sequential write operations within specified zones, allowing the disk to determine the actual write location and to report post-write logical block addresses (LBAs).

Abstract: A content management system synchronizes content items across client computing systems connected by a network. Each client device has a storage allocation for synchronized shared content items. If the storage allocation for shared content items on a client device is exceeded by the request to add or edit a content item such that it is enlarged, or open a large content item remote to the client device, a client application or the host of content management system selects content items to remove from residence on the client device but keep remotely on content management system. Upon removal of the selected content items, the client application creates shadow items, representing the content item but only containing the metadata of the content item. This creates sufficient space for the initial request to be completed while maintaining user access to all synchronized shared content items.

Abstract: The present technology is directed to providing a multi-root architecture for managing devices associated with their own root namespaces. The system can include backing up multiple computing devices to a single user account such that the content items from each computing device are stored in their own respective root namespace at the user account. With each user account having multiple root namespaces, the system can identify which root namespace is receiving changes, identify which changes are necessary to synchronize the system, and then communicate those changes to the content management system. This process is facilitated by running a synchronization engine for each root namespace, thereby controlling synchronization for each root namespace. Each synchronization engine is able to retain its own parameters of operation, which provides the ability to tailor synchronization modes on each synchronization engine.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating content clusters from topic data and focus data, generating content collections from content clusters, storing and restoring desktop scene layouts, and storing and arranging video call scenes. In some embodiments, the disclosed systems generate content clusters based on topic data and focus data associated with content items within a content management system and/or accessed via the internet. The disclosed systems can also generate content collections for a user account of the content management system from the content clusters. In some embodiments, the content scene system can further store and restore desktop scene layouts for arranging application windows presenting content items. Further, the disclosed systems can store and arrange particular desktop scene layouts for video call scenes.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating a model application comprising one or more discrete model functions classified into a function category comprising a sense category, a reason category, or an act category. In some embodiments, the disclosed systems can combine a discrete model function with one or more additional model functions to generate a model application that defines data processing for a customized instance of a large language model. The disclosed systems can surface a model interaction interface comprising selectable application elements to instantiate respective applications of a large language model and modify the model interaction interface to surface a recommended source content item within a source selection window to utilize with the large language model.

Abstract: This disclosure describes systems that aggregate activity data items for one or more data sources for a user account. The disclosed systems can utilize a large language model to transform the activity data items to synthesized activity items. For example, the disclosed systems can utilize the large language model to transform the activity data items to the synthesized activity items by extracting the contextual content from the activity data items. The disclosed systems can utilize the large language model to process the synthesized activity items to generate an activity meta summary for a specified timeframe. Based on the activity meta summary, the disclosed systems can further identify a subset of synthesized activity items for the specified timeframe. Thereafter, the disclosed systems can provide the subset of synthesized activity items for the specified timeframe for display on a client device associated with the user account.

Abstract: The present technology provides a solution that can bring organization to the accumulated data and can surface insights derived from an analysis of stored objects. More specifically, the present technology is directed to an object analysis and classification service which is a configurable platform for identifying objects relevant to a topic and providing analysis of the objects relevant to that topic. The object analysis and classification service can include one or more technologies for identifying objects relevant to a topic. The topic can be configured by a user account or can be a predefined topic selected by the user account. The topic can include parameters that can be used by the one or more technologies for identifying objects relevant to a topic and to provide insights defined by the topic.

Abstract: The systems, methods, and non-transitory computer-readable media relates to the intelligent generation and completion of digital documents. For example, the disclosed systems provide a document creation interface for entering inputs to generate and modify digital documents. In some instances, the disclosed systems receive a document generation prompt, generate a digital document (e.g., using a large language model), and provide an indication of the generated digital document within the document creation interface. Moreover, the disclosed systems can further generate a document summary of the digital document and provide the document summary for a recipient device via a document review interface. Additionally, the disclosed systems can further generate a suggested document modification element and modify the digital document in response to a user interaction with the suggested document modification element using the large language model.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating content-item-specific large language model responses from content items by segmenting a content item and selecting relevant sections of the content item to provide to a large language model to generate a corresponding output. In particular, in one or more embodiments, the disclosed systems can generate a text representation that includes a plurality of text segments each comprising a number of tokens of the text representation. Further, the systems can extract, from the plurality of text segments, segment-specific text embeddings that correspond to respective portions of the text representation of the content item. Additionally, the systems can determine a segment-specific text embedding corresponding to a model output request.