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This research demonstrates the technical blueprint for building and deploying LLMs globally, suggesting critical engineering insights.
This research paper presence are rigourous system-level in architectural analysis of ChatGPT, the detailing the engineering paradigm that under the state of art of conversational Large Languages Models(LLMs). While contemporary academic literature extensively documents behavior and capabilities and societal implications of generative artificial intelligence, this works specific specially addresses the technical blueprint of necessary to build, align and deploy these models at a global scale which systematically trace the engineering pipeline from multi model tokenisation and mass scale data creation to distributed training infrastructures and orchestration.
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RASHMI BAGHEL (2026) studied this question.
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