Abstract:

Large language models have made remarkable achievements in the field of natural language processing. However, due to their high cost and resource consumption, their commercial application is still in its early stages. In contrast, small language models have shown great potential due to their advantages such as low training cost and small computing resource requirements. This study explores the application potential and challenges of small models by analyzing the development status and specific cases of small models at home and abroad. The study found that: (1) Small models are small in size but powerful in function, and have cost advantages; (2) my country's small models can outperform foreign general models in professional fields, and their comprehensive capabilities are greatly improved, which is technologically innovative; (3) Due to the high demand for computing resources by large models, my country's development of small models under the condition of limited resources and technology can help my country stand out in the global AI competition. This article provides a strategic direction for the development of my country's AI industry.

Full text: Application Potential and Challenges of Small Language Model in the LLM Era