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Exploring the applications on generative AI and LLM

  • Vel Tech University
  • Anna University
  • Lebanese American University
  • Noroff University College

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

The recent advancement in artificial intelligence (AI)-the generative artificial intelligence (GenAI)-is a most powerful form that serves to support the organizational computerized structure of society. This chapter delves into the recent methodologies and various applications relating to large language models in both scientific and technical research. This chapter mainly investigates the prime significance in enhancing the various research techniques in scientific fields. This model has significantly contributed to the creation of numerous tools by comprehending and providing the source code with natural language-based instructions. The chapter focuses on the data level incorporation that is termed to be adaptive using quantum-based techniques, which emphasize the advantages they deliver in modeling the scientific domain with comprehensive context creation. The technique required for preserving the confidentiality, transfer learning with neural network, and teamwork interaction with research work are kept under light, taking prior care on the data it provides and also the robustness that is required in the applications of AI. This chapter shows the successful applications of generative neural networks in scientific research advancements. GenAI proves to be a valuable resource for both the researchers and professionals.

Original languageEnglish
Title of host publicationGenerative AI and LLMs
Subtitle of host publicationNatural Language Processing and Generative Adversarial Networks
Publisherde Gruyter
Pages155-175
Number of pages21
ISBN (Electronic)9783111425078
ISBN (Print)9783111424637
DOIs
StatePublished - 23 Sep 2024
Externally publishedYes

Keywords

  • Adaptive scientific modeling
  • Artificial intelligence
  • Blockchain
  • Generative artificial intelligence
  • Large language models
  • Quantum-inspired methodologies

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