An End-to-End Framework for Multi-Docs Chatbot using Llama2
Yazarlar (6)
Purvika Joshi
University Of Petroleum And Energy Studies
University Of Petroleum And Energy Studies
Subhangi Sati
University Of Petroleum And Energy Studies
University Of Petroleum And Energy Studies
Ayan Sar
University Of Petroleum And Energy Studies
University Of Petroleum And Energy Studies
Sumit Aich
University Of Petroleum And Energy Studies
University Of Petroleum And Energy Studies
Ketan Kotecha
Symbiosis Institute Of Technology
Symbiosis Institute Of Technology
Prof. Dr. Turgut ÖZSEVEN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| DOI Numarası | 10.1145/3660853.3660921 | ||
| Kongre Adı | Cognitive Models and Artificial Intelligence Conference | ||
| Kongre Tarihi | 25-05-2024 / 26-05-2024 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | İstanbul |
| Bildiri Linki | http://dx.doi.org/10.1145/3660853.3660921 | ||
| UAK Araştırma Alanları |
Mühendislik
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| Özet |
| The evolution of conversational agents, in particular the case with chatbots, has experienced huge boosts in recent years, enabling a variety of tasks and allowing users to enjoy much more interaction. This research presents a sequential model for a Chatbot of multiple documents that is based on the best of the Llama2 mod-el. The document classification framework intends to offer a user-oriented as well as a versatile conversational approach that draws on data from several fields. Through proper implementation of state-of-the-art natural language processing technology, the chatbot can understand users' inquiries, retrieve the required in-formation from the uploaded files, and respond fluently and understandably. It provides document management processes, like file handling of PDF, DOCX, etc., which enables the user to work with almost all file types and formats. And that directly uses Hugging Face Transformers … |
| Anahtar Kelimeler |
| Chatbot | Generative AI | LLM | Natural Language Processing |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları |