Abstract: A method and system for optimizing a chunk size for a large language model (LLM) are disclosed. The method includes receiving at least one from among a set of input data and a set of evaluation metrics for evaluating LLM performance. Next, the method includes segmenting the set of input data into a plurality of chunks of a set of predefined chunk sizes. Next, the method includes processing each of the chunks of data through the LLM to generate corresponding outputs. Next, the method includes calculating a comprehensive response quality index (CRQI) for each of the chunks based on the generated corresponding outputs, wherein the CRQI is calculated as weighted combination of the evaluation metrics. Thereafter, the method includes determining an optimal chunk from among the chunks based on the calculated CRQIs, wherein the chunk with largest value of the CRQI is determined as the optimal chunk.

Abstract: A method and system for optimizing a chunk size for a large language model (LLM) are disclosed. The method includes receiving at least one from among a set of input data and a set of evaluation metrics for evaluating LLM performance. Next, the method includes segmenting the set of input data into a plurality of chunks of a set of predefined chunk sizes. Next, the method includes processing each of the chunks of data through the LLM to generate corresponding outputs. Next, the method includes calculating a comprehensive response quality index (CRQI) for each of the chunks based on the generated corresponding outputs, wherein the CRQI is calculated as weighted combination of the evaluation metrics. Thereafter, the method includes determining an optimal chunk from among the chunks based on the calculated CRQIs, wherein the chunk with largest value of the CRQI is determined as the optimal chunk.

Abstract: A system and method for regulatory compliance management are disclosed. The method includes receiving, by the at least one processor, at least one regulatory document from at least one regulatory source. Further, the method includes analyzing, by the at least one processor using a trained model, the at least one regulatory document. Further, the method includes drafting, by the at least one processor, an obligation for at least one entity based on the analysis of the at least one regulatory document. Further, the method includes mapping, by the at least one processor, an information in the obligation to at least one of a set of internal procedures and policies of the at least one entity. Further, the method includes updating, by the at least one processor, the internal procedures and policies of the at least one entity to maintain a legal compliance with the obligation.

Abstract: A method and a system for extracting information from a table in a document is provided. The method includes: receiving a document that includes information that is arranged in a table; determining three sets of coordinates that respectively relate to lines, words, and characters included in the document; extracting a list of lines based on the first set of coordinates; reconstructing the rows of the table based on list of lines and the second set of coordinates; reconstructing the columns of the table based on the reconstructed rows and the third set of coordinates; and outputting a reconstruction of the table. The three sets of coordinates are expressible in an hOCR format that is based on an open standard for representation of scanned information that is obtainable by using an optical character recognition (OCR) technique.

Abstract: A method and a system for extracting information from a table in a document is provided. The method includes: receiving a document that includes information that is arranged in a table; determining three sets of coordinates that respectively relate to lines, words, and characters included in the document; extracting a list of lines based on the first set of coordinates; reconstructing the rows of the table based on list of lines and the second set of coordinates; reconstructing the columns of the table based on the reconstructed rows and the third set of coordinates; and outputting a reconstruction of the table. The three sets of coordinates are expressible in an hOCR format that is based on an open standard for representation of scanned information that is obtainable by using an optical character recognition (OCR) technique.

Abstract: A method and a system for extracting information from a table in a document is provided. The method includes: receiving a document that includes information that is arranged in a table; determining three sets of coordinates that respectively relate to lines, words, and characters included in the document; extracting a list of lines based on the first set of coordinates; reconstructing the rows of the table based on list of lines and the second set of coordinates; reconstructing the columns of the table based on the reconstructed rows and the third set of coordinates; and outputting a reconstruction of the table. The three sets of coordinates are expressible in an hOCR format that is based on an open standard for representation of scanned information that is obtainable by using an optical character recognition (OCR) technique.

Abstract: A method and a system for extracting information from a table in a document is provided. The method includes: receiving a document that includes information that is arranged in a table; determining three sets of coordinates that respectively relate to lines, words, and characters included in the document; extracting a list of lines based on the first set of coordinates; reconstructing the rows of the table based on list of lines and the second set of coordinates; reconstructing the columns of the table based on the reconstructed rows and the third set of coordinates; and outputting a reconstruction of the table. The three sets of coordinates are expressible in an hOCR format that is based on an open standard for representation of scanned information that is obtainable by using an optical character recognition (OCR) technique.