Foundation model, trained on a diverse range of data and adaptable to a myriad of tasks, is
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …

In many scientific fields, large language models (LLMs) have revolutionized the way text and
other modalities of data (eg, molecules and proteins) are handled, achieving superior …

Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

Cross-domain knowledge transfer in large language models (LLMs) presents significant
challenges, particularly regarding the extensive resources required for retraining. This …

Large language models (LLMs), such as GPT series models, have received substantial
attention due to their impressive capabilities for generating and understanding human-level …

After ChatGPT was released, large language models (LLMs) became more popular.
Academicians use ChatGPT or LLM models for different purposes, and the use of ChatGPT …

Abstract Low-Rank Adaptation (LoRA) provides a resource-efficient method for fine-tuning
large language models, addressing significant computational challenges. Implementing …

Large Language Models (LLMs) like ChatGPT and GPT-4 are versatile and capable of
addressing a diverse range of tasks. However, general LLMs, which are developed on open …

The rapid development of Large Language Models (LLMs) demonstrates remarkable
multilingual capabilities in natural language processing, attracting global attention in both …

Large language models (LLMs) are a specialized type of generative artificial intelligence (AI)
focused on generating natural language text. These models are developed through …