Abstract: A method of automated technical support includes receiving a natural-language prompt from a user and a user identifier corresponding to the user, the natural-language prompt including at least one technical support query, querying a first database with the user identifier to retrieve first information, generating a vector embedding representative of the first information and the natural-language prompt, querying a second database using the vector embedding to retrieve second information, and generating a natural-language response text based on the natural-language prompt, the first information, and the second information. The second database is a vector database comprising a plurality of vectors, each vector of the plurality of vectors representative of a text segment of a plurality of text segments, the second information comprises at least one text segment of the plurality of text segments, and the natural-language response text responsive to the at least one technical support query.

Abstract: A method includes receiving, by a server and from a user device, a natural-language text prompt provided by the user to a chat application operating on the user device and at least one user preference for a user, the at least one user preference indicative of at least one preferred characteristic of natural-language outputs generated by a machine-learning language model based on user-provided natural-language text inputs. The method further includes, by the server, modifying a system prompt for the machine-learning language model with the received at least one user preference to generate a modified system prompt, providing the modified system prompt as an initial input to the machine-learning language model, providing the natural-language text prompt as an input to the machine-learning language model to generate a natural-language text output after providing the modified system prompt, and transmitting the natural-language text output to the user device.

Abstract: A method includes receiving a natural-language prompt from a user and a user identifier corresponding to the user, querying a first database with the user identifier to retrieve first information, generating a vector embedding representative of the first information and the natural-language prompt, and querying a second database using the vector embedding to retrieve second information. The second database is a vector database comprising a plurality of vectors, each vector of the plurality of vectors representative of a text segment of a plurality of text segments, and the second information comprises at least one text segment of the plurality of text segment. The method further includes generating, by a language model executed by the processor, a natural-language response text responsive to the user query based on the natural-language prompt, the first information, and the second information.

Abstract: A method of hybrid technical support includes receiving, by a network-connected device, a first user prompt including at least one technical support query and generating, by a language model executed by the network-connected device, a first natural-language response to the first user prompt, the first natural-language response configured to elicit first additional information describing the at least one technical support query. The method further includes receiving, by the network-connected device, a second user prompt including the first additional information describing the at least one technical support query, generating a pre-summarization prompt based on the first user prompt and the second user prompt, generating a summarization of the pre-summarization prompt using a language summarization model executed by the network-connected device, and providing the summarization to a support technician device configured to be operated by a support technician.

Abstract: A method of generating a support summary includes extracting chat information including natural language data from a support chat with a user. Tokenized language is generated by performing feature extraction on this natural language data. This tokenized language is subjected to sentiment analysis to produce sentiment data reflecting sentiment of the support user during the support chat, and to semantic analysis to extract support-relevant features. A support summary made up of natural language text identifying a support issue and information germane to the support issue is then generated from the extracted chat information using a language model, at least in part from the extracted support-relevant features and the sentiment data.

Abstract: A method of automatically tailoring sub-accounts of an online user account includes accessing, via a computer-based user data agent, the online user account that includes the sub-accounts and identifying traits associated with each of the sub-accounts. The traits include a first set of traits associated with a first sub-account and a second set of traits associated with a second sub-account. The method further includes generating a first alternate persona based on the first set of traits and generating a second alternate persona based on the second set of traits. The method further includes automatically performing online activities based on the first alternate persona for the first sub-account and based on the second alternate persona for the second sub-account to produce artificial user data that tailors the sub-accounts according to user preferences.

Abstract: A method of protecting user privacy online includes collecting, via a computer-based user data agent, user data generated by a user on a user device and identifying a first set of traits associated with the user data. The method further includes generating a user profile based on the first set of traits associated with the user data and generating an alternate persona defined by a second set of traits that is different from the first set of traits. The method further includes automatically performing online activities based on the alternate persona to produce artificial user data that obscures real user data.

Abstract: Methods for treating arthropods comprising depositing at least one drop of a liquid formulation containing at least one surfactant on a solid surface of an arthropod at a contact angle sufficient to cause rapid and enhanced knockdown (KD) of the arthropod. The contact angle comprises an angle formed between a resting drop of the liquid formulation and the solid surface on which the drop rests measured, after a period of about 80 milliseconds (ms) or more from the time that a drop of the liquid formulation is deposited on the solid resurface, at a contact point between a tangent line drawn on a liquid/vapor interface surface of the resting drop in contact with the solid surface and a tangent to the solid surface on which the drop rests.

Abstract: Methods for treating arthropods comprising depositing at least one drop of a liquid formulation containing at least one surfactant on a solid surface of an arthropod at a contact angle sufficient to cause rapid and enhanced knockdown (KD) of the arthropod. The contact angle comprises an angle formed between a resting drop of the liquid formulation and the solid surface on which the drop rests measured, after a period of about 80 milliseconds (ms) or more from the time that a drop of the liquid formulation is deposited on the solid surface, at a contact point between a tangent line drawn on a liquid/vapor interface surface of the resting drop in contact with the solid surface and a tangent to the solid surface on which the drop rests.

Abstract: Novel methods and compositions are provided for reducing the viscosity of high active alkyl ether sulfate surfactants (e.g., 70% sodium lauryl ether sulfate) without using highly flammable solvents or preservatives.

Abstract: Methods for treating arthropods comprising depositing at least one drop of a liquid formulation containing at least one surfactant on a solid surface of an arthropod at a contact angle sufficient to cause rapid and enhanced knockdown (KD) of the arthropod. The contact angle comprises an angle formed between a resting drop of the liquid formulation and the solid surface on which the drop rests measured, after a period of about 80 milliseconds (ms) or more from the time that a drop of the liquid formulation is deposited on the solid surface, at a contact point between a tangent line drawn on a liquid/vapor interface surface of the resting drop in contact with the solid surface and a tangent to the solid surface on which the drop rests.

Abstract: Methods for treating arthropods comprising depositing at least one drop of a liquid formulation containing at least one surfactant on a solid surface of an arthropod at a contact angle sufficient to cause rapid and enhanced knockdown (KD) of the arthropod. The contact angle comprises an angle formed between a resting drop of the liquid formulation and the solid surface on which the drop rests measured, after a period of about 80 milliseconds (ms) or more from the time that a drop of the liquid formulation is deposited on the solid surface, at a contact point between a tangent line drawn on a liquid/vapor interface surface of the resting drop in contact with the solid surface and a tangent to the solid surface on which the drop rests.

Abstract: A silicone surfactant-based synergistic agricultural formulation contains a combination of a first defined silicone surfactant and a second defined silicone surfactant in a concentration sufficient to cause a knockdown level on treated arthropods, even in the absence of known pesticidally active ingredients.

Abstract: Methods for treating arthropods comprising depositing at least one drop of a liquid formulation containing at least one surfactant on a solid surface of an arthropod at a contact angle sufficient to cause rapid and enhanced knockdown (KD) of the arthropod. The contact angle comprises an angle formed between a resting drop of the liquid formulation and the solid surface on which the drop rests measured, after a period of about 80 milliseconds (ms) or more from the time that a drop of the liquid formulation is deposited on the solid surface, at a contact point between a tangent line drawn on a liquid/vapor interface surface of the resting drop in contact with the solid surface and a tangent to the solid surface on which the drop rests.

Abstract: A composition and method for causing arthropod mortality utilize a formulation containing at least one surfactant selected from a defined group to cause the dynamic surface tension of the formulation to be less than about 30 dynes per centimeter as measured with a Kruss Bubble Pressure Tensiometer (BP2 Version 1.20) causing more than 80% mortality of the treated arthropods within about two minutes or less after the arthropods are treated with the composition.

Abstract: A silicone surfactant-based synergistic agricultural formulation contains a combination of a first defined silicone surfactant and a second defined silicone surfactant in a concentration sufficient to cause a knockdown level on treated arthropods, even in the absence of known pesticidally active ingredients.