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An emergency scene-oriented vertical field large model training and retrieval enhancement method, system, device and storage medium

The application discloses an emergency scene-oriented vertical field large model training and retrieval enhancement method, system, device and storage medium, relates to the technical field of intelligent decision support for emergency scenes, and comprises the following steps: collecting emergency field data and uniformly converting the text, completing segmentation and block division according to semantic breakpoints, and removing duplicates to form a pre-training data set, and constructing a supervised fine-tuning data set on the pre-training data set; after expert sorting and screening according to rules, dividing into reward and punishment models, DPO and PPO training subsets, and selecting a basic model to sequentially perform LoRA continuous pre-training, LoRA supervised fine-tuning and DPO / PPO preference alignment training, and outputting an emergency vertical field large model; constructing a multi-dimensional emergency field benchmark test system through the emergency vertical field large model, and customizing and adapting the emergency vertical field large model according to the functional requirements of different use scenarios. The method disclosed by the application fills the blank of intelligent application in the current emergency field.
Owner:SHANHAI (TIANJIN) DIGITAL TECHNOLOGY CO LTD

Simulation conduit teaching simulator

ActiveCN224263708UFeel the impact intuitivelyIntuitively feel the stabilityCosmonautic condition simulationsEducational modelsPhysical medicine and rehabilitationBlood vessel structure
The utility model discloses a simulation catheter teaching simulation appliance, which comprises a rubber arm, a rubber hand and a fixing ring, cavities are arranged in the rubber arm and the rubber hand, the fixing ring is fixedly connected onto the rubber arm for fixing and assisting, a circulation mechanism is arranged on the fixing ring, and the circulation mechanism is connected with the rubber arm. The circulating mechanism comprises a water injection bottle, a double-end catheter, a drainage tube and an adjusting knob; the water injection bottle is communicated with the rubber arm and the rubber hand through the double-end catheter; by means of the mechanism, a user can adjust the flow according to teaching requirements and simulate the blood flow speed in different physiological states, students can visually feel the impact force of the blood flow on the catheter and the stability of the catheter in the blood flow, more real and dynamic operation experience is provided for the students, the mastering degree of the students on catheter operation skills is effectively improved, and the teaching efficiency is improved. Understanding of the vascular structure and catheter operation is enhanced, and the ability to deal with real operation scenes is improved.
Owner:彭岑

Interactive teaching method and system based on teaching video

PendingCN121982947Aavoid boredom situationsImprove teaching effectData processing applicationsElectrical appliancesBehavioral dataKnowledge management
The invention discloses an interactive teaching method and system based on a teaching video, and relates to the technical field of information, and the method comprises the following steps: 1, collecting the surface behavior data of a student watching the teaching video for at least three times recently, and the corresponding knowledge evaluation data; 2, analyzing the collected behavior data and knowledge evaluation data through a machine learning algorithm to obtain a concentration state distribution diagram of students in each section of video class, and judging the knowledge absorption ability of the students in combination with the corresponding knowledge evaluation data; step 3, performing targeted optimization processing on teaching video contents in the video library according to the knowledge absorption capability of the students, and inserting an interaction task set adaptive to the students into corresponding time nodes in the teaching videos; and step 4, pushing the optimized teaching video to a student terminal, receiving task completion data of the student in real time, and continuing to optimize the interaction task according to the task completion data to complete video teaching.
Owner:HANGZHOU EXPOLANG XINZHI EDUCATION TECHNOLOGY CO LTD