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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Transformations of Word to Vector Approaches in Generative AI
Authors Name: SIJIN P , Vidya A , Viswantah P
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IJRTI_205342
Published Paper Id: IJRTI2507078
Published In: Volume 10 Issue 7, July-2025
DOI:
Abstract: The concept of Generative AI (GAI) is a kind of transformation technology which processes and analyses large datasets for predictive insights. The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. The word embedding based data representation approach on a Machine Learning (ML) model provides a fixed data orientation in a dedicated way of implementation. In Generative AI (GAI’s), the implementation environment is diverse with a variety of attributes, epochs, and control parameters. Proper data transformation methods are indeed here to preserve proper semantics and operations on data. This paper put forward some fuzzy approaches to achieve enough data transformation in a GAI-based neural network environment.
Keywords: Word embedding, Context, Conceptualization, Neural network, Generative AI
Cite Article: "Transformations of Word to Vector Approaches in Generative AI ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a710-a716, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507078.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2507078
Registration ID:205342
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier):
Page No: a710-a716
Country: Bangalore, Karnataka, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507078
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507078
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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