Challenges and Development of Large Language Models Applied to Intelligent Hardware

Abstract

With the rapid development of artificial intelligence and the increasing popularity of intelligent learning devices, the application of large models in intelligent learning devices is becoming increasingly important. Since this year, large language models represented by ChatGPT have emerged. These models are trained on massive online knowledge bases and possess multi-disciplinary knowledge comprehension capabilities. They can interact through Q\&A, generate writing guidance, practice spoken language, and more. Currently, large language models are mainly accessed through API calls to cloud services, which require significant computational resources. This paper discusses the deployment of large language models onto personal intelligent learning devices.

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