Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications 2023
DOI: 10.1145/3607827.3616844
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Fashion-GPT: Integrating LLMs with Fashion Retrieval System

Qianqian Chen,
Tianyi Zhang,
Maowen Nie
et al.
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Cited by 2 publications
(3 citation statements)
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“…On how to train an AI model In the landscape of technology and fashion, weak signals such as the emergence of ChatGPT indicate a paradigm shift in the utilization of AI. ChatGPT, which operates on OpenAI's GPT-4 technology, has become a significant innovation, offering interactive dialogues through a user-friendly interface that demonstrates advanced reasoning and creative capabilities (Chen et al, 2023;Sohail et al, 2023). Initially developed from InstructGPT, this model is trained on extensive datasets, enabling it to recognize patterns and provide predictive responses.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
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“…On how to train an AI model In the landscape of technology and fashion, weak signals such as the emergence of ChatGPT indicate a paradigm shift in the utilization of AI. ChatGPT, which operates on OpenAI's GPT-4 technology, has become a significant innovation, offering interactive dialogues through a user-friendly interface that demonstrates advanced reasoning and creative capabilities (Chen et al, 2023;Sohail et al, 2023). Initially developed from InstructGPT, this model is trained on extensive datasets, enabling it to recognize patterns and provide predictive responses.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…ChatGPT's ease of use has contributed significantly to its widespread adoption (Murray et al, 2023). GPT-4's deep learning algorithm facilitates multimodal communication, which has been applied to various sectors, including aiding visually impaired individuals and improving search and retrieval processes in fashion (OpenAI, 2023c;Chen et al, 2023). The training regimen of GPT-4 incorporates vast datasets and human feedback, which helps in generating contextually relevant and factually accurate responses.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
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