Aisha: A Custom AI Library Chatbot Using the ChatGPT API

Lappalainen, Yrjo; Narayanan, Nikesh

doi:10.1080/19322909.2023.2221477

Cited by 28 publications

(4 citation statements)

References 16 publications

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“…Likewise, the paper discussed in [73] centered on creating a specialized chatbot for the Zayed University Library in the UAE. This chatbot, named Aisha, was implemented using Python and the ChatGPT API.…”

Section: Book Recommendationmentioning

confidence: 99%

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From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions

Al-Hasan,

Sayed,

Bensaali

et al. 2024

BDCC

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Recommender systems are a key technology for many applications, such as e-commerce, streaming media, and social media. Traditional recommender systems rely on collaborative filtering or content-based filtering to make recommendations. However, these approaches have limitations, such as the cold start and the data sparsity problem. This survey paper presents an in-depth analysis of the paradigm shift from conventional recommender systems to generative pre-trained-transformers-(GPT)-based chatbots. We highlight recent developments that leverage the power of GPT to create interactive and personalized conversational agents. By exploring natural language processing (NLP) and deep learning techniques, we investigate how GPT models can better understand user preferences and provide context-aware recommendations. The paper further evaluates the advantages and limitations of GPT-based recommender systems, comparing their performance with traditional methods. Additionally, we discuss potential future directions, including the role of reinforcement learning in refining the personalization aspect of these systems.

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Section: Book Recommendationmentioning

confidence: 99%

“…Aisha [73] ChatGPT API Education Library Developing of the chatbot and discussing its perceived capabilities and limitations.…”

Section: Emotion Aware Recommendationsmentioning

confidence: 99%

From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions

Al-Hasan,

Sayed,

Bensaali

et al. 2024

BDCC

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show abstract

“…Before we started building the chatbot, we needed to configure the development environment with the needed libraries and tools [5] to ensure that the code runs successfully and that the chatbot works well. At the streamlit_requir.txt file, we have a list of libraries/tools that this project needed.…”

Section: Environment Configurationmentioning

confidence: 99%

Introducing a Chatbot to the Web Portal of a Higher Education Institution to Enhance Student Interaction

Oliveira,

Matos

2023

Asec 2023

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“…Преимущества ИИ в библиотечном деле: экономия времени и усилий библиотекарей, улучшение качества метаданных для библиотеч-ных ресурсов [7]. Примечательно, что сам ChatGPT, отвечая на вопрос, как он может быть полезен работникам библиотек и специалистам по поиску информации, выделил следующие направления помощи: справочная помощь, исследовательская поддержка, языковая поддержка, доступ к библиотечным услугам и управление информацией [9].…”

Section: Introductionunclassified

Demonstrating ChatGPT possibilities for the libraries

Zemskov,

Telitsyna

2024

Naučnye i tehničeskie biblioteki

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The authors analyze the materials in librarianship generated with artificial intelligence (AI). They demonstrate that AI generates the texts very close to the common style and format of publications in the area. The goal of the article is to warn the users of the AI-generated works and possibly, to prevent violation of publishing ethics. The authors undertook comprehensive comparison to evaluate the quality and similarity of text materials, and application of the generated predictive text (GPT) technology in librarianship. The advantages and disadvantages of both approaches are revealed. The findings of the study are important to understand the AI capabilities and limitations in librarianship and to identify the contexts where the computerized systems are most efficient as compared to human authors. The ChatGPT is an excellent reference and complementary tool based on the accumulated samples. The materials created by ChatGPT are legally close to encyclopedic or dictionary entries, however, they have no actual author(s), i.e. these materials are independent creative works therefore they can hardly be protected by general copyright. The authors recommend to indicate the AIgenerated parts of works, argue that further development of juridical foundations for GPT materials is needed, and invite everyone to discussion.The study is accomplished within the framework of the NRU HSE Fundamental Studies Program.

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Aisha: A Custom AI Library Chatbot Using the ChatGPT API

Cited by 28 publications

References 16 publications

From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions

From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions

Introducing a Chatbot to the Web Portal of a Higher Education Institution to Enhance Student Interaction

Demonstrating ChatGPT possibilities for the libraries

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