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Unleashing Creativity in Natural Language: An Overview of Prompting Techniques Used in Large Language Models

Unleashing Creativity in Natural Language: An Overview of Prompting Techniques Used in Large Language Models
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Author(s): Lysa Packiam R. S. (Anna University, Chennai, India)and Abirami Murugappan (Anna University, Chennai, India)
Copyright: 2024
Pages: 41
Source title: Generative AI and Implications for Ethics, Security, and Data Management
Source Author(s)/Editor(s): Jeganathan Gomathi Sankar (BSSS Institute of Advanced Studies, India)and Arokiaraj David (Al Tareeqah Management Studies, Swiss Business School, UAE)
DOI: 10.4018/979-8-3693-8557-9.ch003

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Abstract

In today's cybernetic world, Generative AI (Gen AI) and Natural Language Processing (NLP) made a vibrant change in the technology. Intertwine between Generative AI and NLP creates a different angle that comes to light. NLP algorithms enhanced by Generative AI not only understands the language but also generates human-like responses, opening doors to more nuanced and context-aware interactions. This chapter focuses on two specific dimensions such as language generation and multilingual capability. Large Language Models (LLMs) are considered as a foundational element or backbone for generating texts. Thereby, prompting LLM is a crucial element for generating the desired text. The main aim of this chapter is to explore importance of prompting LLM, various prompting techniques used for interacting with LLM and the frameworks available for accessing the LLM, and issues involved in prompting LLM and their challenges and future directions will also be discussed.

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