8results about How to "Reduce evaluation costs" patented technology

The application discloses a unified adaptation and standardized evaluation method and system for a heterogeneous RAG framework. The method constructs a three-layer decoupling architecture of the arrangement layer, the adaptation layer and the evaluation layer. First, the ability characteristics of the target framework are automatically loaded through the framework capability perception matrix; then, an independent API adapter is assigned to encapsulate the heterogeneous framework into a unified operation interface, and an intelligent uploading strategy is executed and the heterogeneous response format is parsed into a unified four-tuple structure; then, six mutually orthogonal evaluation dimensions are established, and automatic evaluation is carried out based on a large language model evaluator; finally, combined with the framework capability, a differentiated evaluation standard is applied, different failure modes are mapped to specific dimension combinations to realize accurate performance attribution, and a comparative analysis report is output. The application effectively solves the problems that the heterogeneous framework cannot be uniformly evaluated and a single index is difficult to locate the bottleneck, and significantly improves the scientificity, reproducibility and fairness of cross-framework comparison of the evaluation.

The application discloses a method and device for quickly evaluating a ranking model, and belongs to the technical field of computers, in particular to the field of machine learning and data mining. The method comprises the following steps: obtaining a first score list of all items, wherein the score is obtained by a ranking model to be evaluated; obtaining a second score list of related items, wherein the score can be obtained from the first score list; dividing the first score list by taking the second score list as a demarcation value, and obtaining the ranking of the related items in the first score list; and calculating a ranking evaluation index and evaluating the ranking model according to the ranking of the related items. The application solves the problems of large calculation complexity and high calculation cost in the existing method for evaluating the ranking model, and improves the evaluation efficiency. By using the method, the ranking model can be quickly and accurately evaluated on the order of 100 million items by using a small amount of calculation resources, and the cost, resources and time are saved.

The application discloses a kind of batch CTD sensor conductivity drift performance fast evaluation method and system, it is related to marine observation instrument test and calibration technical field.The method includes: the conductivity time series data of multiple temperature salinity depth sensors is synchronously collected;Statistical weight of each sensor is estimated based on the historical error variance in sliding window, and improved robust fuzzy C mean fusion algorithm is used to generate virtual true value, and virtual true value sequence is biased and corrected based on group median;The deviation sequence of each sensor relative to the virtual true value after correction is calculated, and the long-term drift rate and initial bias are estimated by linear regression estimation;Quantitative score is carried out from four dimensions, and the comprehensive score is calculated by weighting, and the drift level is judged.The application does not need to rely on high-precision external reference, supports batch parallel evaluation, can quickly output objective quantitative score and diagnostic conclusion, and is suitable for CTD sensor batch production detection and on-site rapid screening scene.

The invention discloses a large model tool calling multi-dimensional performance evaluation method and system, and relates to the technical field of artificial intelligence and natural language processing, and the method achieves the comprehensive evaluation of the calling capability of a large model tool through the four core steps of data preparation, data standardization processing, multi-dimensional quantitative evaluation and result output. The method specifically comprises the steps of constructing a standard test data set and obtaining model output, analyzing and normalizing tool calling information, carrying out quantitative evaluation from multiple dimensions of function name matching, parameter name matching, parameter value semantic matching and unauthorized tool calling detection, and finally generating an automatic comparison report. According to the method, the problems of single dimension, semantic understanding deficiency, dependence on manual annotation and insufficient security management and control of an existing assessment method are solved, the method has the advantages of multi-dimensional interpretability, semantic level assessment accuracy, security enhancement and full-automatic efficient evaluation, and the method can be widely applied to transverse comparison and optimization iteration of large model tool calling capability.

This invention discloses a rapid early warning and estimation method for the structural state of prestressed concrete continuous rigid frame bridges based on long-term deflection changes, belonging to the field of bridge structural health monitoring and assessment technology. This method involves setting up permanent observation points during the operation of the continuous rigid frame bridge to collect long-term deflection data and establish a deflection characteristic equation. Combined with the prestress-deflection and main beam stress-deflection regression relationships, it achieves dynamic calculation of the structure's prestress and stress state. Simultaneously, it sets early warning thresholds based on deflection development trends to provide rapid early warning of abnormal structural deformation and completes the serviceability limit state and ultimate limit state assessments according to current standards. This invention solves the problems of reliance on short-term data, delayed early warning, and inaccurate state estimation in traditional bridge assessments. It achieves long-term dynamic tracking and accurate prediction of structural state, providing a scientific basis for bridge maintenance decisions and is applicable to the health monitoring and performance assessment of continuous rigid frame bridges during the operation period.

The present application relates to a kind of automatic evaluation and report generation method based on while drilling parameter geologic hardness grade, including obtaining while drilling parameter, borehole number and borehole depth, while drilling parameter can be integrated with physical constraint to generate comprehensive characterization vector, comprehensive characterization vector input classification model to generate geologic hardness evaluation value, according to the data and geologic hardness evaluation value generated evaluation report.The method of the present application fully considers the coupling relationship between multiple parameters in while drilling parameter, can obtain while drilling parameter at the same time, according to the while drilling parameter data generated automatically geologic hardness evaluation value, realize the continuous evaluation of full borehole depth, and simultaneously generate evaluation report, compared with traditional single parameter simple regression method, robustness is stronger, reduces the evaluation result error, and timeliness is good, cost is low, and evaluation information is complete.

The application discloses a method and system for evaluating three-dimensional distribution of carbon segregation of a forged piece. The method comprises the following steps: presetting a carbon segregation area of a raw ingot of the forged piece, simulating a forging process of the forged piece, and obtaining an internal carbon segregation area of the forged piece after the simulation; comparing the internal carbon segregation area of the forged piece after the simulation with actual forging data, correcting the preset carbon segregation area of the raw ingot of the forged piece according to a comparison result, obtaining a corresponding relationship between the carbon segregation area of the raw ingot of the forged piece and the internal carbon segregation area after the forging, and obtaining a forged piece forging calculation model containing parameters; substituting actual forging data of the forged piece into the forged piece forging calculation model, and obtaining simulation data of carbon content on an outer surface of the forged piece; obtaining actual data of carbon content on the outer surface of the forged piece; comparing the simulation data of carbon content on the outer surface of the forged piece with the actual data of carbon content on the outer surface of the forged piece, adjusting parameters so that the two data are consistent, and obtaining a three-dimensional distribution rule of carbon segregation in the forged piece. The three-dimensional distribution of carbon segregation is obtained without dissection of the forged piece.

The application discloses a radio waveform cross-platform transplantation method and device, equipment and medium, and the method comprises the following steps: performing waveform transplantation uniformity detection on an evaluation object to obtain a detection result quantization value; if the detection result quantization value reaches a preset uniformity threshold, basic element evaluation is continued; otherwise, the evaluation is ended; if the evaluation quantization result of the basic element reaches a preset basic element threshold, waveform initial transplantation verification is performed; after the waveform initial transplantation verification evaluation is completed, waveform portability quantization statistics are performed; otherwise, the evaluation is ended. Through the construction of a quantitative evaluation system, the application can realize fast cross-platform transplantation of software radio waveforms and provide strong support for waveform development.