The primary function of Large Language Models (LLMs) in Natural Language Processing (NLP) is to process and generate human language. Here’s a detailed explanation:
Function of LLMs: LLMs are designed to understand, interpret, and generate human language text. They can perform tasks such as translation, summarization, and conversation.
Input and Output: LLMs take input in the form of text and produce output in text, making them versatile tools for a wide range of language-based applications.
Applications: These models are used in chatbots, virtual assistants, translation services, and more, demonstrating their ability to handle natural language efficiently.
References:
Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint arXiv:1810.04805.
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems.
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