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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/12771

Titre: ChatGPT backend: A comprehensive analysis
Auteur(s): Belgacem, Ali
Bradai, Abbas
Beghdad-Bey, Kadda
Mots-clés: Artificial intelligence
ChatGPT
Dataset
GPT-4
Natural Language Processing
Date de publication: 2023
Editeur: Institute of Electrical and Electronics
Collection/Numéro: 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar, 2023, pp. 1-6
Résumé: Artificial intelligence (AI) has transformed the field of natural language processing, enabling substantial advances in understanding, interpreting, and producing human language. The ability of AI to find new solutions to difficult linguistic expressions has led to the birth of sophisticated language models such as ChatGPT. This model uses cutting-edge deep learning algorithms to produce high-quality, human-like writing in response to natural language inputs. ChatGPT has an amazing capacity to recognize context, evaluate sentiment, and provide coherent and appropriate replies. It has a wide range of applications, from virtual assistants and customer support bots to language translation and content development. Therefore, understanding its backend has become essential. In this paper, we summarize the key principles underlying the operation of ChatGPT's back-end. This study is required reading for ChatGPT researchers because it covers critical aspects of the ChatGPT backend. It includes essential information for researchers looking to improve ChatGPT's performance or create new language models based on its architecture
URI/URL: 10.1109/ISNCC58260.2023.10323792
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/12771
https://ieeexplore.ieee.org/document/10323792
ISBN: 979-835033559-0
Collection(s) :Communications Internationales

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