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“What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter

Big Data and Cognitive Computing, 2023
In this study, the author collected tweets about ChatGPT, an innovative AI chatbot, in the first month after its launch. A total of 233,914 English tweets were analyzed using the latent Dirichlet allocation (LDA) topic modeling algorithm to answer the ...
Viriya Taecharungroj
exaly   +2 more sources

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CHATBOTS

Psychologues et Psychologies
This chapter discusses how chatbots have changed, where they are used and the ethical questions they raise, focusing on their roles in healthcare, education and helping customers. Earlier, they only responded through rules, but now, thanks to AI and natural language processing, chatbots can engage in complicated, talking-like discussions with people ...
Aditya Shrivastav, Sunil Sankathala, Kashvi Chaturvedi, Atharva Haresh Saraf, Krutika Patre, Susanta Das   +5 more
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Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot

Interactive Learning Environments, 2023
As Artificial Intelligence (AI) advances technologically, it will inevitably bring many changes to classroom practices. However, research on AI in education reflects a weak connection to pedagogical perspectives or instructional approaches, particularly ...
Thomas K. F. Chiu, Benjamin Luke Moorhouse, C. Chai, Murod Ismailov   +3 more
semanticscholar   +1 more source

Performance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment.

JAMA ophthalmology, 2023
Importance ChatGPT is an artificial intelligence (AI) chatbot that has significant societal implications. Training curricula using AI are being developed in medicine, and the performance of chatbots in ophthalmology has not been characterized ...
Andrew Mihalache, M. Popovic, R. Muni
semanticscholar   +1 more source

Closing the accessibility gap to mental health treatment with a personalized self-referral chatbot

Nature Medicine
Johanna Habicht
exaly   +2 more sources

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

International Conference on Machine Learning
Large Language Models (LLMs) have unlocked new capabilities and applications; however, evaluating the alignment with human preferences still poses significant challenges.
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael Jordan, Joseph Gonzalez, Ion Stoica   +10 more
semanticscholar   +1 more source