Methods and systems for automatically generating queries and displaying visual representations of query results using graphics processing units

A system configured to provide distribution of streaming content over a network, the system comprising:

• a computer device;
• a network interface;
• non-transitory computer readable memory having program instructions stored thereon that when executed by the computer device cause the system to perform operations comprising:
• store a video content library of video content items and associated video content item titles;
• receive a voice specification from a first user;
• select a first subset of titles from a first genre based at least in part on a determined popularity of titles in the first genre;
• select a second subset of titles from a second genre based at least in part on a determined popularity of titles in the second genre;
• generate an aggregated subset of titles comprising the first subset of titles and the second subset of titles;
• receive over a network via the network interface a first request or query from a first device associated with a first user;
• determine, with respect to the received first request or query, whether there is a same or similar request or query stored in memory by at least:
• converting the received first request or query to a first vector;
• performing a similarity search between the first vector of the received request or query and vectors stored in a vector database corresponding to previously received queries or requests;
• determining a distance between the first vector of the first received request or query and at least a second vector stored in the vector database corresponding to a corresponding previously received request or query;
• based at least in part on the determined distance between the first vector of the received first request or query and the second vector stored in the vector database corresponding to the corresponding previously received request or query, determining if the second vector stored in the vector database corresponding to the corresponding previously received request or query is sufficiently close to the first vector of the received first request or query based at least in part on a first metric;
• at least partly in response to determining that the second vector stored in the vector database corresponding to the corresponding previously received request or query is sufficiently close to the first vector of the received first request or query, accessing a response previously provided in response to the corresponding previously received request or query, the response including video content viewing recommendations comprising a first plurality of titles of video content items in a first category of the video content library of video content items satisfying at least one popularity metric and comprising a second plurality of titles of video content items in a second category of the video content library of video content items satisfying at least one popularity metric;
• convert the accessed response, comprising text, to a voice response in accordance with the user voice specification using a deep learning engine;
• transmit the voice response converted from the accessed response in accordance with the user specification, in response to the first request or query;
• receive over the network via the network interface a second request or query from a second device associated with a second user, the second request or query comprising a content recommendation request or query;
• determine, with respect to the received second request or query, whether there is a same or similar request or query stored in memory by at least:
• converting the received second request or query to a third vector;
• performing a similarity search between the third vector of the received second request or query and vectors stored in the vector database corresponding to previously received queries or requests;
• determining a distance between the third vector of the received second request or query and at least a fourth vector stored in the vector database corresponding to a corresponding previously received request or query;
• based at least in part on the determined distance between the third vector of the received second request or query and the fourth vector stored in the vector database corresponding to the corresponding previously received request or query, determining if the fourth vector stored in the vector database corresponding to the corresponding previously received request or query is sufficiently close to the third vector of the received second request or query;
• at least partly in response to determining that the fourth vector stored in the vector database corresponding to the corresponding previously received request or query is not sufficiently close to the third vector of the received second request or query, generate a prompt, comprising at least a portion of the second request or query, the aggregated subsets of titles, an identification of content items the user has begun watching, an identification of content items the user has completed watching, and at least a first instruction, to a large language model trained using a corpus of text comprising content reviews;
• receive a prompt response from the large language model, comprising a content recommendation comprising one or more items of content selected from the aggregated subsets of titles;
• transmit the prompt response, comprising the content recommendation comprising one or more items of content selected from the aggregated subsets of titles, the content recommendations comprising previews of at least one of the one or more items of content to the second device;
• receiving a request from the second device for an item of content from the content recommendation;
• in response to the request from the second device for the item of content from the content recommendation transmitting a corresponding manifest to the second device;
• determine that a threshold amount of modifications have been made to the video content library;
• and
• at least partly in response to determining that the threshold amount of modifications have been made to the video content library, clear a cache of queries.