How large language models including generative pre-trained transformer (GPT) 3 and 4 will impact medicine and surgery

Atallah, S. B.; Banda, N. R.; Banda, A.; Roeck, N. A.

doi:10.1007/s10151-023-02837-8

Cited by 17 publications

(12 citation statements)

References 29 publications

(30 reference statements)

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“… 4 14 More specifically, both applications are language models powered by a transformer-based neural network. 15 The transformer architecture comprises multiple layers, known as ‘transformer blocks’, which process and extract features from input data in a hierarchical manner. 16 This makes transformer-based language models highly effective for NLP tasks, as they can discern patterns in how words and phrases relate to each other, ultimately generating text that is not only appropriate but also contextually relevant across a wide range of prompts.…”

Section: History: From Simple Conversational Agents To Llmsmentioning

confidence: 99%

Potential applications and implications of large language models in primary care

Andrew

2024

Fam Med Com Health

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The recent release of highly advanced generative artificial intelligence (AI) chatbots, including ChatGPT and Bard, which are powered by large language models (LLMs), has attracted growing mainstream interest over its diverse applications in clinical practice, including in health and healthcare. The potential applications of LLM-based programmes in the medical field range from assisting medical practitioners in improving their clinical decision-making and streamlining administrative paperwork to empowering patients to take charge of their own health. However, despite the broad range of benefits, the use of such AI tools also comes with several limitations and ethical concerns that warrant further consideration, encompassing issues related to privacy, data bias, and the accuracy and reliability of information generated by AI. The focus of prior research has primarily centred on the broad applications of LLMs in medicine. To the author’s knowledge, this is, the first article that consolidates current and pertinent literature on LLMs to examine its potential in primary care. The objectives of this paper are not only to summarise the potential benefits, risks and challenges of using LLMs in primary care, but also to offer insights into considerations that primary care clinicians should take into account when deciding to adopt and integrate such technologies into their clinical practice.

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Section: History: From Simple Conversational Agents To Llmsmentioning

confidence: 99%

Potential applications and implications of large language models in primary care

Andrew

2024

Fam Med Com Health

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“…GPT-3, which stands for the third-generation of Generative Pre-trained Transformer [3][4][5][6], is an innovative machine learning model created by OpenAI. It's built upon an astonishing framework of 175 billion machine learning parameters, setting a new benchmark for neural network size as of the beginning of 2021.…”

Section: Overview Of Gpt-3 and Gpt-4mentioning

confidence: 99%

“…GPT-4 is the fourth generation pretrained transformer [4][5][6][7][8][9], the latest and most advanced version in the GPT series, brought remarkable enhancements and new features that set it apart from its predecessors. One significant upgrade is its status as a multimodal model, capable of processing both images and text as in-put.…”

Section: Overview Of Gpt-3 and Gpt-4mentioning

confidence: 99%

GPT-3.5 vs. GPT-4, Unveiling OpenAI’s Latest Breakthrough in Language Models

Singh,

Singh

2023

Preprint

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<p>OpenAI’s continuous efforts to push our knowledge and build on it for natural language processing have led to the development of GPT-4, the highly acclaimed successor of GPT-3. Built upon the Generative Pretrained Transformer architecture (GPT), it showcases significant advancements in natural language processing, as it now incorporates image handling capabilities alongside its vast data and computational resources. This article delves into a comprehensive comparison between GPT-3 and GPT-4 exploring their similarities, differences, cost of implementation etc. Through a comprehensive analysis of their conversational abilities, accuracy, creativity, and reliability, this article offers valuable insights into the distinctive features and performance enhancements of GPT-4 over its predecessor. As the latest iteration of OpenAI’s language models, GPT-4 promises to redefine the landscape of natural language processing and unlock new possibilities in various domains. </p>

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“…Experts have expressed apprehension about the impact of ChatGPT on common practices like programming. 16 Therefore, it is essential to evaluate the situation rationally and develop suitable educational plans in light of evolving technologies such as ChatGPT. In recent decades, several technologies have emerged that have disrupted traditional practices, prompting individuals to evaluate the benefits and risks associated with these innovations.…”

Section: Introductionmentioning

confidence: 99%

“…While ChatGPT has made considerable progress, concerns regarding its misuse have also been raised. 15–17 Thus, it is crucial to carefully consider potential threats such as the integrity of online exams and question answering, alongside the numerous positive applications of ChatGPT in education. Experts have expressed apprehension about the impact of ChatGPT on common practices like programming.…”

Section: Introductionmentioning

confidence: 99%

Enhancing catalysis studies with chat generative pre-trained transformer (ChatGPT): Conversation with ChatGPT

Ansari,

Babaei,

Najafpour

2024

Dalton Trans.

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How large language models including generative pre-trained transformer (GPT) 3 and 4 will impact medicine and surgery

Cited by 17 publications

References 29 publications

Potential applications and implications of large language models in primary care

Potential applications and implications of large language models in primary care

GPT-3.5 vs. GPT-4, Unveiling OpenAI’s Latest Breakthrough in Language Models

Enhancing catalysis studies with chat generative pre-trained transformer (ChatGPT): Conversation with ChatGPT

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