摘要
随着实验室物联化等需求发展,更为便捷的实验室智慧化也迫在眉睫.将大语言模型引入实验室管理,对人文感知、理解、分析、判断等能力提升具有重要作用.首先,分析了大语言模型的核心能力:语言到指令转换、多任务与自动化、知识响应、多模融合及信息过滤与汇总.其次,以微信公众号为基础,构建基于大语言模型的智慧化实验室方案,实现自然语言理解与执行、个性化学习计划制定、辅导、日志分析与反馈管理和实验报告自动评估等功能.最后,通过实验验证方案的有效性.
Abstract
With the rapid development of laboratory IoT and interconnection needs,more convenient laboratory intelligence is imminent.Introducing large language models into laboratory management plays an important role in improving humanistic perception,memory,understanding,analysis,judg-ment,sublimation and other abilities.First,the five core capabilities of large language models are an-alyzed:language-to-instruction conversion,multi-step tasks and automation,intelligent knowledge response,multi-modal fusion,and information filtering and aggregation.Secondly,using the WeChat public account as the basic platform,we build a smart laboratory solution based on large language mod-els to realize the understanding and execution of users'natural language,personalized learning plan formulation,experimental coaching,log analysis and user feedback management and experimental re-ports Automated assessment and other management functions.Finally,through experimental verifica-tion,the large language model can effectively optimize the experimental reservation and management process,improve the efficiency of experimental resource utilization,and manage user feedback and needs.
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