Overview of the Development of Large Language Models
This paper analyzed the characteristics of large language models and elucidated their technological advancements and application domains.It was posited that large language models have made significant strides in model design,data architecture,pre-training and fine-tuning,exhibiting exceptional capabilities in language generation,knowledge application,and complex logical reasoning.These attributes enabled them to demonstrate immense potential and practical value in constructing specialized models,enhancing knowledge integration and parsing capabilities,data mining and analysis,as well as intelligent design and operation.Nonetheless,current models still faced numerous challenges regarding explainability,security,authenticity,and training costs.As algorithms and structures have optimized,these models were anticipated to achieve more efficient and precise training,further enhancing text learning and generation capabilities.Their application scope was set to expand into multi-modal realms,facilitating comprehensive understanding and processing of diverse data types.
large language modelslanguage generationknowledge applicationcomplex logical reasoningdata mining
NETL
NSTL
万方数据
