The Future Landscape Of Large Language Models In Medicine

This article provides an overview of Artificial Intelligence (AI) models, Application Programming Interface (API), Bidirectional Encoder Representations from Transformers (BERT), code debugging, data leakage, domain knowledge, externalization, Generative Pre-trained Transformer (GPT)-1, natural language input, and Natural Language Processing (NLP) models. AI models are computational systems designed to simulate human intelligence and perform tasks such as problem-solving, decision-making, and language processing. API facilitates communication and interaction between different software applications, enabling seamless integration and data exchange. BERT is a specific NLP model that utilizes a transformer-based neural network architecture to understand the contextual meaning of words. Code debugging is the process of identifying and rectifying errors or issues in software code. Data leakage is the unintended exposure or disclosure of sensitive or confidential information. Domain knowledge is expertise and understanding in a specific field or subject area. Externalization is the process of expressing or representing factual knowledge in an external form. GPT-1 is a large language model developed by OpenAI. Natural language input allows users to provide instructions or input in a more intuitive and human-like manner. NLP models are AI models specifically designed to understand and analyze human language.