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This report examines the fine-tuning of Large Language Models (LLMs), integrating theoretical insights with practical applications. It outlines the historical evolution of LLMs from traditional Natural Language Processing (NLP) models to their pivota
Externí odkaz:
http://arxiv.org/abs/2408.13296
Autor:
Zafar, Ahtsham, Parthasarathy, Venkatesh Balavadhani, Van, Chan Le, Shahid, Saad, khan, Aafaq Iqbal, Shahid, Arsalan
Conversational AI systems have emerged as key enablers of human-like interactions across diverse sectors. Nevertheless, the balance between linguistic nuance and factual accuracy has proven elusive. In this paper, we first introduce LLMXplorer, a com
Externí odkaz:
http://arxiv.org/abs/2308.13534
Autor:
Zafar, Ahtsham, Parthasarathy, Venkatesh Balavadhani, Van, Chan Le, Shahid, Saad, Khan, Aafaq Iqbal, Shahid, Arsalan
Publikováno v:
Big Data & Cognitive Computing; Jun2024, Vol. 8 Issue 6, p70, 27p
Autor:
Khan, Aafaq1 aafaqkhan365@gmail.com, Faraz, Naveed2, Shafique, Sehrish3, Ali, Maria4, Saleem, Kiran4, Ali Zubair, Muhammad5
Publikováno v:
Professional Medical Journal. May2022, Vol. 29 Issue 5, p710-714. 5p.