233 results about "Content determination" patented technology

Systems, methods, and computer-readable media provide a context-specific prompt to answer a user query. The systems, methods, and computer-readable media determine a context based on content of a natural language request and / or determine a role of a user who submitted the natural language request. Additionally or alternatively, templates or RAG sources that will be used for prompt generation may include financials domain-specific knowledge or other domain-specific knowledge or insights. Inclusion of this additional information in the prompt enhances the context to promote more accurate results from a large language model. In one embodiment, the prompt templates are created from various RAG sources, such as payables, general ledger, receivables, and asset management, containing structured data and information specific to the financial domain, enterprise, or other domain, which helps craft accurate prompts. A prompt is generated that identifies a subset of available fields and other selected information based on the role or other context. The prompt template may contain domain-specific knowledge uses a relevant domain or enterprise information to drive relevant results, and an executable query is generated by a large language model based on the prompt. The executable query causes data to be retrieved from a database to generate a result, and information is displayed based at least in part on the result.

The embodiment of the invention relates to a document translation processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a to-be-translated document, segmenting the to-be-translated document into a plurality of fragments, and obtaining the context content of a first fragment in the to-be-translated document, the context content comprises original text content and translated text content of a first preset number of text units adjacent to a first fragment in front of the to-be-translated document, inputting the context content and the original text content of the first fragment into a translation model, translating by the translation model, and outputting the translated text content of the first fragment, and determining a translation result document based on the translation content of the first fragment. The context content of the original text content and the translation content containing the first preset number of text units adjacent to the first fragment is supported to be obtained, the context content and the original text content of the first fragment are input into the translation model, and the first fragment is translated by combining the context content to obtain the translation content of the first fragment. And the translation consistency of translations is improved.

The invention provides a recommendation method and device, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical field of intelligent recommendation and software application. According to the implementation scheme, based on first interaction behavior information of a target user for current display content, whether the current display content can meet the interest of the target user or not is determined, and the current display content is determined from a candidate content library comprising a plurality of candidate content categories; in response to determining that the current display content does not meet the interest of the target user, obtaining an interest content category of the target user, the interest content category being determined from a plurality of candidate content categories based on content category information of a plurality of historical browsing contents of the target user; determining recommended content based on a plurality of candidate contents corresponding to the interest content category; and displaying the recommended content to the target user.

The invention relates to the technical field of digital management, and particularly discloses a publishing house full-process digital management system based on big data analysis, which comprises a publishing house topic selection planning module, a topic selection content determination module, a publishing house order management module, a book inventory monitoring module, a book quality evaluation module and a book copyright management module. According to the method, a topic selection feasibility evaluation model is established through book multi-source data fusion, topic selection accuracy is improved, production and printing management is intelligently planned through a paper format optimization algorithm, a book inventory prediction model is established through fusion of sales and inventory data, inventory allocation management is realized, and the production and printing efficiency is improved. The printing quality problem is automatically identified through standardized deviation analysis, copyright key links are subjected to uplink evidence storage, a press is promoted to transform from experience driving to data driving through a big data analysis technology, and scientization of topic selection decision, refinement of production management, standardization of quality management and control and full chain of copyright protection are achieved.

The invention relates to the technical field of traditional Chinese medicine analysis, in particular to a method for determining the content of five flavonoid components in a hypericum perforatum medicinal material. The content determination method comprises the following steps: preparing rutin, hyperoside, isoquercitrin, quercitrin and quercetin into a mixed reference solution; extracting a hypericum perforatum medicinal material by using an extraction solvent to prepare a test solution; the mixed reference substance solutions and the test solution with different volumes are subjected to high performance liquid chromatography respectively, a mobile phase A is acetonitrile, a mobile phase B is a phosphoric acid aqueous solution with the volume concentration of 0.08-0.12%, and elution gradient is adopted. The content determination method has the advantages of high sensitivity, simplicity and convenience in operation, low cost and high detection speed.

The invention discloses a preparation process of a Qingjin phlegm-reducing decoction material standard, an HPLC content determination method and a fingerprint spectrum establishment method aiming at the material standard, under the content determination method, the peak shapes of chromatographic peaks of all components are symmetrical, the separation effect is remarkable, and excellent stability, specificity, linear response, repeatability, precision and accuracy are shown. According to the present invention, the fingerprint characteristics are accurately recorded, the reversed-phase high performance liquid chromatography technology is adopted to successfully obtain 13 common peaks, the baicalin is adopted as the reference peak, the relative retention time and the relative peak area of the common peaks are calculated, and the reference substance comparison is further performed to identify the 8 common peaks; the established fingerprint spectrum method also has the characteristics of good chromatographic peak shape, high separation degree, stable method, excellent repeatability, high precision and the like. In conclusion, the invention provides a set of comprehensive and reliable Qingjin phlegm-reducing decoction material standard quality control reference system, and a scientific basis is provided for the overall quality evaluation of the Qingjin phlegm-reducing decoction.

A digital human generation method, a model training method and apparatus, a device, and a medium are provided. An implementation solution is: obtaining material content; determining a plurality of scenarios from the material content based on a pre-trained scenario division model, where each of the plurality of scenarios corresponds to a content fragment of the material content that has complete semantic information; and for each of the plurality of scenarios, determining, based on a corresponding content fragment, target content corresponding to the scenario; determining scenario label information of the scenario based on the corresponding target content; and configuring a digital human specific to the scenario based on the scenario label information.

The embodiment of the invention provides a content reasoning method and device, equipment and a medium. The method comprises the steps of obtaining a task description text associated with a reasoning task; based on the text key content in the task description text, determining a task cognition template adapted to the reasoning task, and based on multiple pieces of template chain information in the task cognition template, determining a reasoning path associated with the reasoning task; when the reasoning task is executed according to the reasoning path, mapping the text key content to analysis class chain information, performing reasoning analysis on the analysis class chain information mapped with the text key content to obtain a content reasoning result, and performing result verification on the content reasoning result through verification class chain information to obtain a verification result; and determining a task reasoning result for the reasoning task according to the content reasoning result and the verification result. By adopting the embodiment of the invention, the inference analysis capability can be improved from the source, and the result output accuracy can be improved through a result verification mode.

The invention discloses an analysis method for determining multiple components of white spirit by high performance liquid chromatography-tandem mass spectrometry, and relates to the technical field of white spirit analysis and detection, and the analysis method comprises the following steps: firstly, preparing an ethyl carbamate precursor substance standard stock solution and a mixed standard intermediate solution, and diluting the mixed standard intermediate solution step by step to obtain a mixed standard working solution; then determining chromatographic and mass spectrometry conditions, wherein BEH Ami chromatographic column is adopted as the chromatographic condition, and 0.1% formic acid water-acetonitrile is adopted as a mobile phase for gradient elution; a mass spectrum condition adopts a multi-reaction monitoring mode under an electrospray positive ion mode; drawing a quantitative calibration curve; finally, preparing a to-be-detected sample for content determination. According to the analysis method for determining the multiple components of the Baijiu through the high performance liquid chromatography-tandem mass spectrometry, through chromatographic condition optimization and mass spectrometry parameter innovation, the detection efficiency is improved, peak area data of urea, citrulline and arginine can be synchronously obtained through single sample injection, the analysis time is short, and quantification is accurate.

The invention belongs to the technical field of artificial intelligence, and relates to a content review method, which comprises the following steps: obtaining marketing content to be reviewed, and determining a data type of the marketing content; obtaining a target content classification model according to the data type; classifying the marketing content by adopting a target content classification model to obtain a marketing content type; obtaining a pre-constructed review knowledge base, and retrieving from the review knowledge base according to the marketing content type to obtain a target review basis; and inputting the marketing content and the target review basis into a content review model, and performing illegal content judgment on the marketing content according to the target review basis to obtain a content review result. The invention further provides a content review device, computer equipment and a storage medium. The method can be applied to a business management program system of financial insurance, and can reduce the manual review cost of marketing materials and shorten the review period.

The invention discloses a video text recognition method based on semantic collaboration and representation mining, which comprises the following steps of: selecting video frames, and constructing a video text recognition data set; obtaining the position information and the detection score of the text through a text detection network; the recognition content and the semantic score of the text are obtained through a semantic collaborative classifier, and auxiliary supervision is carried out on the recognition content and the semantic score through a feature mining module; screening out a high-quality text instance by using a collaborative score obtained by weighted averaging of a detection score and an identification score, and aligning and fusing position information and semantic information of the high-quality text instance as tracking representation; and inputting the high-quality text region and the tracking representation into a text tracking module to obtain a tracking ID, and determining a text recognition result of the to-be-recognized video in combination with the detection position and the recognition content. According to the method, the small and weak text areas and the similar text areas in the video text can be accurately identified, and the robustness of the model to visual interference of the external environment is improved.

Implementations relate to generating, using a generative model (e.g., an LLM), generative model output that reflects a response that is responsive to content of user input and that is responsive to temporal characteristic(s) of providing the user input (e.g., typing speed(s)). Input event(s) that are performed by a user in providing the user input are determined, and temporal features associated with the user input are extracted from the determined input event(s). The generative model is trained to process a combined representation of a content embedding determined from content of the user input and a temporal encoding that encodes the temporal features associated with the user input, in order to generate the response. The generated response thus includes content that varies even when two queries having the same word content are received, if input events for the two queries indicate different user intents.

Method, systems and computer programs for content provision are provided. A requestor node generates an anonymized and compressed representation of the user profile using a user data embedding machine-learning model inputting user data of a user profile. The content retrieval platform receives the anonymized and compressed representation of the user profile and a content retrieval request and inputs the anonymized and compressed representation of the user profile and the content retrieval request to a content determination machine-learning model to determine content in response to the content retrieval request.

The embodiment of the invention discloses a large-model-based government affair official document intelligent generation method and device and a medium, and relates to the technical field of large models, and the method comprises the following steps: receiving an official document generation request input by a user, carrying out semantic analysis on the official document generation request, complementing missing information by querying a knowledge base and historical data, constructing a context framework, and generating a government affair official document; the official document generation request comprises an official document type, key information and a document issuing department, and the context framework comprises an official document structure template and filled entity content; generating manuscript content based on a context framework through a large language model, determining a plurality of candidate manuscript versions, and performing multi-dimensional scoring on each candidate manuscript version to determine a target manuscript version; and retrieving an official document format template corresponding to the official document generation request from a preset template library to perform semantic alignment and intelligent auditing on the target manuscript version and the official document format template so as to determine a target official document.

A system for presenting content to a user of a processing device during a journey, the system comprising a journey identification unit operable to identify one or more characteristics of the journey, a content determination unit operable to select and / or modify content in dependence upon the identified characteristics, and a content presentation unit operable to present the selected and / or modified content to the user of the processing device during the journey.

The invention discloses a data analysis method and device based on a large model, a medium, equipment and a product, and relates to the field of large models, intelligent agents and data analys.The data analysis method comprises the steps that an intelligent interaction page associated with the intelligent agents is displayed; in response to a content input operation of the user in a natural language form in the intelligent interaction page, based on target content corresponding to the content input operation, determining a target data set required for performing data analysis on the target content, and obtaining metadata of the target data set; and calling a preset data analysis tool for data analysis based on the target content and metadata of the target data set through a large model to obtain an initial data analysis result, and outputting a target data analysis result at least based on the initial data analysis result. The conditions of model illusion and uncontrollable analysis results can be reduced, the stability of the analysis process is ensured, and the reliability and consistency of the analysis results are further improved.

Embodiments of the present disclosure provide a method and apparatus for generating code content. The method comprises: acquiring first code content generated by a first model on the basis of a code processing request; determining a first error associated with the first code content; acquiring reference information associated with the first error; and providing the code processing request, the reference information, and the first code content to a second model to generate second code content for the code processing request. In this way, the embodiments of the present disclosure can achieve construction of the reference information associated with the first error, so that the second model can generate the second code content for a first request on the basis of the reference information, thereby effectively improving generation quality of code content.

The invention discloses a test case generation method and device, equipment, a storage medium and a product. Identifying each text content in the system architecture diagram; determining a text content set according to the text contents; determining a transaction name set according to the transaction name of each transaction record in the key transaction list; according to the text content set, the transaction name set and a to-be-filled test case table, a target test case table is determined, and one test case in the target test case table is recorded as one target test case. According to the technical scheme, all the text contents in the system architecture diagram can be automatically recognized and arranged into the text content set, then the transaction names of all the transaction records are automatically extracted from the key transaction list, the transaction name set is formed, the text content set, the transaction name set and the to-be-filled test case table are combined, and the test case table to be filled can be filled. According to the method, related information is automatically filled, the target test case table is generated, the whole process does not need human participation, automatic generation of the test case is achieved, the influence of subjective experience of testers is effectively avoided, and the stability of test case generation is guaranteed.

The embodiment of the invention provides an object evaluation method and an object evaluation device.The object evaluation method comprises the steps that target evaluation content and content test information of a target object are obtained, and the content test information is information obtained by testing the target object under at least two content progresses of the target evaluation content; according to the target evaluation content, object evaluation parameters are determined, and the object evaluation parameters are used for reflecting an object expected level corresponding to the target evaluation content; and generating an object evaluation result of the target object according to the content test information and the object evaluation parameters. The expression change of the target object in the learning process is comprehensively reflected through the content test information, so that contingency and one-sidedness caused by evaluation based on a single time point are avoided, and the comprehensiveness of an object evaluation result is improved; and the level of the target object is quantified based on the object evaluation parameters, so that the actual level of the target object can be intuitively reflected.

The invention provides a liquid chromatography for content determination or impurity determination of apalutamide, a salt thereof or a preparation thereof, and belongs to the field of analytical chemistry. According to the liquid chromatography, octadecylsilane chemically bonded silica is adopted as a chromatographic column of a filler, an acid-containing aqueous solution and acetonitrile are adopted as mobile phases, and gradient elution is carried out. The liquid chromatography has the advantages of high detection efficiency, high accuracy, good linearity, high sensitivity, good durability, good repeatability and reproducibility, high precision and the like, and compared with other chromatographic conditions, the liquid chromatography also has the advantages of large quantity of separated impurities, good separation effect and the like.

The invention relates to the technical field of traditional Chinese medicines, in particular to a preparation method and a detection method of a herba chloranthi serrati extract and a preparation thereof. The invention relates to a herba chloranthi serrati extract and a preparation method thereof, which specifically comprises the following steps: (1) decocting herba chloranthi serrati decoction pieces twice with water, filtering, cooling the filtrate to room temperature, combining the two decoctions, namely the herba chloranthi serrati extract, and concentrating the decoctions under reduced pressure to obtain an extract with the extract yield of 4.2-11.2%; and preparing the extract into a required dosage form, thereby obtaining the Sihua Tibet preparation. The invention establishes a quality control method based on a characteristic spectrum, and a content determination analysis method aiming at the herba chloranthi serrati extract and the preparation of the herba chloranthi serrati extract. The established detection method adopts a liquid chromatography technology, has the characteristics of simplicity and convenience in operation, stability, high precision and good reproducibility, and provides a reliable analysis means for comprehensive evaluation of product quality and standard establishment.

The invention discloses an establishment method of an HPLC (high performance liquid chromatography) characteristic chromatogram of granules for treating common cold and clearing heat and a component content test thereof, and belongs to the technical field of pharmaceutical analys.According to the research, the HPLC characteristic chromatogram of the granules for treating common cold and clearing heat is established under the same chromatographic condition by adopting a high performance liquid chromatography, and the overall internal quality in a preparation is comprehensively reflected; the method for simultaneously determining the content of amygdalin, puerarin, cimicifugin and corydalis bungeana is established, methodology verifies that the method is simple, convenient and feasible, has good stability and repeatability, and can be used for detection in production process monitoring and quality evaluation of the cold and heat clearing granules to ensure that the quality of the cold and heat clearing granules meets the standard. The scheme not only scientifically restores the overall pharmacodynamic material basis of the compound preparation, but also provides a new generalizable normal form for quality control of traditional Chinese medicines with the advantages of low cost and high efficiency, and has milestone significance for promoting industry standardization and internationalization.

The present disclosure provides a sample generation method, a machine learning model training method, an information evaluation method, an apparatus, a device, a storage medium and a program product, relates to the technical field of computer and data processing, and particularly relates to the technical field of artificial intelligence, machine learning, big data, data mining and the like. The specific implementation scheme is as follows: for any one content publishing subject, determining target information according to the publishing content of the content publishing subject; determining a label for each content publishing subject according to the target information; and for any one content publishing subject, generating a subject sample according to the label.

The application discloses a crude polysaccharide content determination method and system based on multi-standard comparison, and the method comprises the following steps: according to the type of a sample to be measured, matching applicable crude polysaccharide determination standard methods through a preset standard database, and forming a candidate standard list; synchronously performing detection according to the standard methods in the candidate standard list respectively, and obtaining original detection data under each standard method; according to an absorbance sequence, calculating kinetic characteristic parameters under each standard method, and matching through a preset interference characteristic library to obtain a matrix interference type of the sample to be measured; through a preset mutual calibration function, mapping crude polysaccharide content determination values of each standard method to the same reference, calculating calibration deviations of each standard method; based on the calibration deviations and the matrix interference type, obtaining comprehensive quality scores under each standard method, and determining an optimal recommended method according to the comprehensive quality scores. Through mutual calibration and elimination of matrix interference, the optimal detection standard can be automatically recommended.

The present application provides a kind of Echinops formula granule quality detection method, including the thin layer identification of Echinops formula granule, characteristic map construction and β-ecdysterone content determination, the content standard of formula granule is limited to every 1g contains β-ecdysterone 3.5~14.4mg, thin layer identification is identified using thin layer chromatography, characteristic map construction and β-ecdysterone content determination are all using liquid chromatography method.The quality detection method of Echinops formula granule of the present application, by the detection of thin layer identification, characteristic map construction and β-ecdysterone content determination to assess the quality of Echinops formula granule, can comprehensively reflect the inherent quality of formula granule and better control the quality of Echinops formula granule.

The embodiment of the invention provides a content processing method, an object recommendation method, equipment, a storage medium and a program product. Comprising the steps of obtaining first content matched with a target object category; determining at least one kind of role information related to the target object category; adjusting the first content by using a content generation model according to the at least one piece of role information to obtain second content corresponding to the at least one piece of role information; and extracting at least one piece of recommendation information corresponding to the target object category from at least one piece of second content. According to the technical scheme provided by the embodiment of the invention, the accuracy of information extraction is improved.

The application relates to a content publishing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: displaying an image shooting interface; the image shooting interface comprises image content collected by a shooting component and shooting guide information; wherein the shooting guide information is determined based on first publishing content, and the first publishing content is determined based on the image content; in response to a shooting operation performed on the image shooting interface, determining a target image to be published; in response to a publishing operation performed on the target image to be published, publishing second publishing content; wherein the first publishing content and the second publishing content are content published on a content platform or distributed to a browsing account of the content platform based on a content distribution algorithm. Therefore, the obtained target image and the second publishing content are more in line with the aesthetics of the content platform and have more potential for dissemination, thereby improving the creation willingness of the user and the output efficiency of high-quality content.

The embodiment of the invention provides a content processing method and device, electronic equipment and a storage medium. The content processing method is executed by first equipment and comprises the following steps: displaying first content; determining whether a first operation acting on the first content is a second operation of an associated session; in response to the second operation, sending a first message based on a first session associated with the first content; the first message is used for opening the first content by at least one account participating in the first session.

The invention discloses a method for determining the content of poloxamer 124 in the technical field of medical analysis. Liquid chromatography is adopted for detection, and a gel chromatographic column filled with porous silicon dioxide is selected as a chromatographic column; a mobile phase is a trifluoroacetic acid-acetonitrile-water solution; the weight ratio of the mobile phase trifluoroacetic acid to acetonitrile to water is 0.1: (18-22): (78-82); the column temperature is 25-45 DEG C; the temperature of a detector is 60-80 DEG C; the flow velocity of the mobile phase is 0.6-1.0 ml / min; the sample size is 5-20 [mu] l, automatically injecting the sample according to the chromatographic conditions, recording the peak area, and calculating the content according to an area normalization method. The method is high in response value, simple in detection operation and high in product content accuracy, specificity, repeatability, sampling precision, linearity and range all meet the requirements, and the quantitative determination problem of poloxamer 124 is solved.