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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: October 2025
Volume 10 | Issue 10
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18018
Article Published : 7746
Total Authors : 20484
Total Reviewer : 747
Total Countries : 140
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| Paper Title: | Architecting Large-Scale LLM Applications: Challenges and Best Practices |
| Authors Name: | Bhanuvardhan Nune |
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| Author Reg. ID: |
IJRTI_204231
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| Published Paper Id: | IJRTI2505268 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | The rise of large language models (LLMs) like GPT-4, Claude, and LLaMA has revolutionized the field of AI, enabling applications that span chatbots, code generation, scientific research, and enterprise automation. However, deploying LLMs at scale is far from trivial. This review examines the architectural, operational, and ethical challenges involved in building large-scale LLM applications. We synthesize insights from recent research, benchmark evaluations, and real-world deployments to outline best practices in orchestration, inference optimization, retrieval augmentation, and alignment techniques such as reinforcement learning with human feedback (RLHF). The review also proposes a theoretical model for LLM application stacks and discusses future research directions involving multimodal fusion, agent-based reasoning, and federated deployment. The goal is to provide architects, engineers, and AI researchers with a comprehensive roadmap for creating scalable, trustworthy, and efficient LLM-powered systems. |
| Keywords: | Large Language Models (LLMs); LLMOps; GPT-4; Retrieval-Augmented Generation (RAG); RLHF; AI Alignment; Scalable AI Systems; Model Orchestration; Prompt Engineering; Federated AI |
| Cite Article: | "Architecting Large-Scale LLM Applications: Challenges and Best Practices", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c578-c583, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505268.pdf |
| Downloads: | 000225 |
| 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 |
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Published Paper ID: IJRTI2505268
Registration ID:204231
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c578-c583 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505268 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505268 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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