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| 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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