Feature Specifications and Pathway Development for the Predominant Architecture of a Large-scale Language Model
During the evolution of architectural design,large-scale language models have transitioned from traditional neural network structures to Transformer-based frameworks.Recently,Decoder-Only architectures based on Transformers have demonstrated significant advancements in parameter scale,performance,and versatility,emerging as a primary focus for the development and research of large-scale language models.Despite the comparative advantages of Decoder-Only models,Encoder-Decoder architectures remain competitive in task-specific performance due to continuous development and optimization of large models.Therefore,it is essential to establish a robust development strategy to solidify the practical foundation for high-quality advancement of large language models.
Large Language ModelsMainstream architectureDecoder-Only
NETL
NSTL
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