Universal Approximation Theory: The basic theory for large language models

The core allure of these models Moreover, model pruning techniques (Sun stems from their extraordinary capabilities in et al., 2023; Ma et al., 2023) are crucial for deploying language processing. Language, as a unique crystallization large models in resource-constrained environments, of human intelligence, serves not only aiming to reduce the model size for as the external reflection of thought but also as operation on smaller devices. Faced with the challenge the bridge for communication, the cornerstone for of processing long texts, such as generating the dissemination of knowledge, and the continuation summaries or answering questions based on extensive of civilization, profoundly shaping the identity documents--which traditionally requires of humans as a unique species. Thus, endowing substantial computational resources--technologies machines with the ability to understand and generate like LongLora (Chen et al., 2023) have been developed language marks a significant leap towards to tackle the difficulties of processing long