ChatGPT: A Brief Narrative Review

Abstract

Modern language models are created to produce writing that can be mistaken for sentences authored by humans. Moreover, these models can converse with humans in a way that seems fair and logical. The most technologically advanced chatbot to date is ChatGPT, a version of OpenAI's Generative Pretrained Transformer (GPT) language standard. It can generate high-quality content in mere seconds, surpassing the capabilities of other chatbots. As a result, it has generated a lot of attention, enthusiasm and interest in various sectors and topics. This study provides an overview of the current research on ChatGPT, including its technological framework, support mechanisms, and implementation studies. Through this review, we explore the advantages and limitations of ChatGPT and propose future research directions.

Professionals' perspectives on ChatGPT in the tourism industry: Does it inspire awe or concern?

“…ChatGPT has the potential to reach a broader audience by overcoming language barriers (Dwivedi et al, 2023a) in tourism businesses or international markets, as it supports various languages (Gursoy et al, 2023;Skavronskaya et al, 2023). ChatGPT provides tourism businesses with management strategy opportunities (George & George, 2023;Korzynski et al, 2023) while granting customers access to a vast database of destinations, hotels, customized itineraries, restaurants, museums, events, attractions, tour options, and other tourism information (Chaturvedi et al, 2023;Gupta et al, 2023;Ivanov & Soliman, 2023;Yaşar et al, 2023). This facilitates better trip planning for customers and enables tourism businesses to enhance customer satisfaction (Singh & Singh, 2023).…”

“…With its intuitive nature and pre-trained model, ChatGPT (Ray, 2023;Wu et al, 2023) can be particularly valuable for businesses that need to understand changing customer needs and market trends in the tourism industry. ChatGPT has the potential to revolutionize the tourism and hospitality sector by enhancing trip organization and improving customer service (Gupta et al, 2023;Singh & Singh, 2023), making it an expected early adopter in the tourism industry, especially within the travel sector (Dwivedi et al, 2023a;Iskender, 2023).…”

“…Consequently, with individualized services and travel experiences, ChatGPT enables tourism businesses to increase customer satisfaction and loyalty (Gursoy et al, 2023;Singh & Singh, 2023). One of the most significant benefits of using ChatGPT is its ability to rapidly and thoroughly generate travel content for tourism professionals (Chaturvedi et al, 2023;Gupta et al, 2023). Consequently, ChatGPT empowers tourism businesses to create individualized products and services that strengthen their interaction with potential customers (Ivanov & Soliman, 2023;Pricope Vancia et al, 2023) and enhance the personalized customer experience (Dwivedi et al, 2023a;Singh & Singh, 2023).…”

ChatGPT és más nagy nyelvi modellek (LLM-ek) biztonsági kérdései, szervezeti és társadalmi hatásai

“…Hatékonyság és időgazdálkodás: az LLM-ek képesek automatizálni a szövegkészítés folyamatát, így jelentős időt takarítanak meg. Ezeknek köszönhetően gyorsabban és precízebben hozhatunk létre tartalmakat (Gupta et al 2023).…”

The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase

“…One such notable AI language model is ChatGPT (https://openai.com/chatgpt), an autoregressive language model that uses deep learning techniques to generate coherent and contextually relevant responses to user inputs. Since its launch, ChatGPT has gained significant attention and adoption in various domains, includinrg content generation, healthcare, education, data science, accounting, finance, tourism, and customer support/assistance (Carvalho and Ivanov, 2023;Dowling and Lucey, 2023;Dwivedi et al, 2023a,b;Gupta et al, 2023;Ray, 2023;Sallam, 2023;Sohail et al, 2023a;Wood et al, 2023). The introduction of ChatGPT has also sparked discussions and debates surrounding its potential implications across various domains (Baumgartner, 2023;Ivanov and Soliman, 2023;Lo, 2023).…”