Are Sources from 2023-2025 Still Valid Today

The review aims to expand the understanding of LLMs in general and highlights the need for new reflection forms on how LLMs are reviewed, the data required for effective evaluation, and addressing critical issues like bias and risk. The natural language processing (NLP) field is advancing at an extraordinary pace in both academic performance and integration with the broader public [1]. Generative Pre-trained Transformer 4 (GPT-4) marks the latest in this field’s series of significant leaps [2,3]. OpenAI has released an extensive technical report (TR) in the style of a formal academic paper demonstrating exceptional results [2]. For example, GPT-4 scored in the top 10% of test takers across numerous bodies of knowledge in simulated examinations [2].

The findings of this study emphasize the need for caution when seeking medical information on ChatGPT since most of the references provided were found to be fabricated or inaccurate. Individuals are advised to verify medical information from reliable sources and avoid relying solely on artificial ...

The primary objective of this study was to investigate whether ChatGPT-3.5 is a reliable source of peer-reviewed information for patients inquiring about total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures. Specifically, this is the first and only study to evaluate peer-reviewed sources used by ChatGPT including characteristics such as level of evidence and respective journal impact factor.

OpenAI, the Microsoft-backed creator of ChatGPT, has confirmed the chatbot can now browse the internet to provide users with current information. The artificial intelligence-powered system was previously trained only using data up to September 2021.

Italian regulators assert that ... clarify and address the issues raised; an age verification tool was implemented to ensure users are at least 13 years old....

OpenAI introduced the first GPT model (GPT-1) in 2018, publishing a paper called "Improving Language Understanding by Generative Pre-Training", which was based on the transformer architecture and trained on a large corpus of books. The next year, they introduced GPT-2, a larger model that could generate coherent text.

This report focuses on the capabilities, limitations, and safety properties of GPT-4. GPT-4 is a Transformer-style model [39] pre-trained to predict the next token in a document, using both publicly available data (such as internet data) and data licensed from third-party providers.

In June 2020, GPT-3 was released, ... Some of the applications that were developed based on GPT-3 are: ChatGPT: launched in November 2020, it is a chatbot, article writer, and code writer....