Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM

no code implementations • 3 Apr 2024 • Md. Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha, Prakash Bhat, Anupam Kumar Bairagi, Mohammad Shamsul Arefin

Conversational modeling using Large Language Models (LLMs) requires a nuanced understanding of context to generate coherent and contextually relevant responses.

Chatbot Navigate +1

L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMs

1 code implementation • 21 Dec 2023 • Md. Kowsher, Md. Shohanur Islam Sobuj, Asif Mahmud, Nusrat Jahan Prottasha, Prakash Bhat

Efficiently fine-tuning Large Language Models (LLMs) for specific tasks presents a considerable challenge in natural language processing.

Natural Language Inference

Impact Learning: A Learning Method from Features Impact and Competition

no code implementations • 4 Nov 2022 • Nusrat Jahan Prottasha, Saydul Akbar Murad, Abu Jafar Md Muzahid, Masud Rana, Md Kowsher, Apurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi

This algorithm is remarkable for learning from the competitive situation and the competition comes from the effects of autonomous features.