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Foundation of Large Language Models and Their Emergent Abilities
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Author(s): Rashmi Gupta (Atal Bihari Vajpayee University, Bilaspur, India), Jeetendra Kumar (Atal Bihari Vajpayee University, Bilaspur, India)and Suvarna Sharma (Dr. Vishwanath Karad MIT World Peace University, Pune, India)
Copyright: 2026
Pages: 32
Source title:
Theory, Practice, and Future Direction of Large Language Models
Source Author(s)/Editor(s): Ismail Lamaakal (University Mohammed Premier, Morocco), Yassine Maleh (Sultan Moulay Slimane University, Morocco), Khalid El Makkaoui (University Mohammed Premier, Morocco), Ibrahim Ouahbi (University Mohammed Premier, Morocco)and Ahmed Abd El-Latif (Prince Sultan University, Saudi Arabia)
DOI: 10.4018/979-8-3693-8387-2.ch001
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Abstract
Large Language Models (LLMs) are throughly examined in this chapter, along with their potential, limitations and implications for existing artificial intelligence. An overview of the history and introduction of LLMs may be found in the introduction. A variety of language tasks, including translation and summarization, are examined in the Capabilities section where these models demonstrate outstanding performance. This highlights how much of an influence he has had on NLP(Natural Language Processing). This chapter emphasizes LLM's developing capabilities. With these developments, problems with interpret-ability, ethics, and resource limitations are addressed, highlighting the necessity of responsible application. This study expands of LLMs, consider it's promise, and indicates the importance using and generating them in a sustainable and ethical manner.
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