Unlocking Prompt Engineering from Tokens to RAG
Prompt engineering sits at the intersection of human intent and machine execution, transforming raw large language models into targeted, reliable tools. Grounded in core model mechanics: such as token processing, probability distributions, temperature, and top-p sampling, effective prompt design helps direct model variability, align output with human values, and mitigate hallucinations. The discipline encompasses structural prompt construction using clear context, delimiters, and desired formatting, alongside strategies like role-playing, few-shot examples, and step-by-step Chain of Thought reasoning. For complex domain requirements, prompt strategies extend to Retrieval-Augmented Generation (RAG) and fine-tuning. Ultimately, building production-ready prompts relies on software engineering rigor, including input sanitization to prevent prompt injection, prompt caching for cost control, dynamic selection, and systematic evaluation.
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Dr. Siba Mishra of C. V. Raman Global University (CGU), Bhubaneswar
Unlocking Prompt Engineering from Tokens to RAG
Prompt engineering sits at the intersection of human intent and machine execution, transforming raw large language models into targeted, reliable tools. Grounded in core model mechanics: such as token processing, probability distributions, temperature, and top-p sampling, effective prompt design helps direct model variability, align output with human values, and mitigate hallucinations. The discipline encompasses structural prompt construction using clear context, delimiters, and desired formatting, alongside strategies like role-playing, few-shot examples, and step-by-step Chain of Thought reasoning. For complex domain requirements, prompt strategies extend to Retrieval-Augmented Generation (RAG) and fine-tuning. Ultimately, building production-ready prompts relies on software engineering rigor, including input sanitization to prevent prompt injection, prompt caching for cost control, dynamic selection, and systematic evaluation.
Biography:
Dr. Siba Mishra is currently working as an Assistant Professor in the Department of Computer Science and Engineering at C. V. Raman Global University (CGU), Bhubaneswar, Odisha, India from October, 2024. Prior to this, he was working as a research and engineering scientist at Zoho Corporation, Chennai, India from 2021 to 2024 and was working as a post doctoral fellow in the Department of Electrical Engineering and Computer Science (EECS) at Indian Institute of Science Education and Research Bhopal (IISER Bhopal) from 2018 to 2020. Dr. Mishra earned a Ph.D. in Computer Science and Engineering from IIT (ISM), Dhanbad, Jharkhand, India. He has a M. Tech. degree from Kiit University, Bhubaneswar, Odisha, India and B. Tech. degree from BPUT, Rourkela, India in Computer Science and Engineering. He is a senior member of IEEE and a professional member of ACM.
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Address:Assistant Professor , Department of Computer Science and Engineering at C. V. Raman Global University (CGU), Bhubaneswar, Orissa, India, 752054