Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: Computerized systems and methods for identifying a table in a document include: removing from a document content other than text characters and associated size, position and format information; converting each text character into a block covering the corresponding text character; converting each page of the document into a corresponding image file; drawing a set of horizontal lines spanning a width of the document, each block super-scored and under-scored by at least one of the horizontal lines; drawing a set of vertical lines spanning all or a portion of a length of the document; removing a subset of redundant vertical lines; and determining, based on the set of horizontal lines and the subset of vertical lines, (i) a set of table coordinates corresponding to a table in the document, and (ii) one or more sets of cell coordinates corresponding to one or more cells in the table.

Abstract: Techniques for collecting and presenting information using a wearable device involve receiving criteria information data that specifies one or more criteria for providing information to a user of a wearable device; receiving information indicative of a field of view of the user of the wearable device; detecting that an object in the field of view is associated with one or more attributes that satisfy the user-specified criteria; responsive to detection, executing a rule associated with one or more attributes that satisfy the user-specified criteria; and based on execution of the rule, causing an informational depiction to be presented via a display of the wearable device that visually eliminates or enhances the detected object in the field of view of the user.

Abstract: A computer-implemented method is provided for opening an expedited account for a user. The method includes receiving a request from the user to make a trade associated with at least one financial instrument, in the absence of an account being opened for the user. The method includes determining a plurality of factors in response to the request, the plurality of factors including 1) a credit worthiness score of the user; 2) a source of capital identified by the user to cover the trade; and 3) a type of the at least one financial instrument associated with the trade. The method also includes opening the expedited account for the user with limited trading privileges, in which an amount of fund for trading is advanced to the user based on the plurality of factors. The method further includes allowing the user to make a trade up to the amount of fund advanced.

Abstract: A computer-implemented method, including receiving by one or more computer systems input information that represents a multi-dimensional communication; detecting, based on contents of the input information, a plurality of communication inputs; applying one or more weighted values to one or more of the communication inputs; assigning, based on application of the one or more weighted values, confidence levels to the communications inputs; determining which of the confidence levels are below a confidence threshold; executing one or more disambiguation rules to disambiguate the communication inputs with confidence levels below the confidence threshold; and generating a communication instruction to perform an action that is specified by the multi-dimensional communication.

Abstract: Techniques for collecting and presenting information using a wearable device involve receiving criteria information data that specifies one or more criteria for providing information to a user of a wearable device; receiving information indicative of a field of view of the user of the wearable device; detecting that an object in the field of view is associated with one or more attributes that satisfy the user-specified criteria; responsive to detection, executing a rule associated with one or more attributes that satisfy the user-specified criteria; and based on execution of the rule, causing an informational depiction to be presented via a display of the wearable device that visually eliminates or enhances the detected object in the field of view of the user.

Abstract: A computer-implemented method, including receiving by one or more computer systems input information that represents a multi-dimensional communication; detecting, based on contents of the input information, a plurality of communication inputs; applying one or more weighted values to one or more of the communication inputs; assigning, based on application of the one or more weighted values, confidence levels to the communications inputs; determining which of the confidence levels are below a confidence threshold; executing one or more disambiguation rules to disambiguate the communication inputs with confidence levels below the confidence threshold; and generating a communication instruction to perform an action that is specified by the multi-dimensional communication.

Abstract: A computer-implemented method comprising: receiving, from a device used by a user, a request to access a resource hosted by a computer system; identifying, by the computer system, a level of risk associated with the user requesting access to the resource; adjusting, by the computer system an authentication standard for access to the resource, adjusting based on the identified level of risk; determining values for authentication factors used in authenticating the user's access to the resource; applying weights to the values for the authentication factors; and determining, based on a comparison of the weighted values to the adjusted authentication standard, whether the user is authorized to access the resource.

Abstract: A computer-implemented method is provided for opening an expedited account for a user. The method includes receiving a request from the user to make a trade associated with at least one financial instrument, in the absence of an account being opened for the user. The method includes determining a plurality of factors in response to the request, the plurality of factors including 1) a credit worthiness score of the user; 2) a source of capital identified by the user to cover the trade; and 3) a type of the at least one financial instrument associated with the trade. The method also includes opening the expedited account for the user with limited trading privileges, in which an amount of fund for trading is advanced to the user based on the plurality of factors. The method further includes allowing the user to make a trade up to the amount of fund advanced.

Abstract: A computer-implemented method comprising: receiving, from a device used by a user, a request to access a resource hosted by a computer system; identifying, by the computer system, a level of risk associated with the user requesting access to the resource; adjusting, by the computer system an authentication standard for access to the resource, adjusting based on the identified level of risk; determining values for authentication factors used in authenticating the user's access to the resource; applying weights to the values for the authentication factors; and determining, based on a comparison of the weighted values to the adjusted authentication standard, whether the user is authorized to access the resource.

Abstract: A computer-implemented method, including receiving by one or more computer systems input information that represents a multi-dimensional communication; detecting, based on contents of the input information, a plurality of communication inputs; applying one or more weighted values to one or more of the communication inputs; assigning, based on application of the one or more weighted values, confidence levels to the communications inputs; determining which of the confidence levels are below a confidence threshold; executing one or more disambiguation rules to disambiguate the communication inputs with confidence levels below the confidence threshold; and generating a communication instruction to perform an action that is specified by the multi-dimensional communication.

Abstract: A computer-implemented method comprising: receiving, from a device used by a user, a request to access a resource hosted by a computer system; identifying, by the computer system, a level of risk associated with the user requesting access to the resource; adjusting, by the computer system an authentication standard for access to the resource, adjusting based on the identified level of risk; determining values for authentication factors used in authenticating the user's access to the resource; applying weights to the values for the authentication factors; and determining, based on a comparison of the weighted values to the adjusted authentication standard, whether the user is authorized to access the resource.