The after-conference proceeding of the ICCCT 2025 will be published in SCOPUS indexed Springer Book Series, ‘Lecture Notes in Networks and Systems’

Dr. Swati Tyagi

Dr. Swati Tyagi

Demystifying Large Language Models : Practical Applications and Technical Insights

Abstract 

In this session, we will explore the transformative potential of Large Language Models (LLMs) in solving real-world business challenges. The talk will cover an introduction to LLMs, their core capabilities, and how they are reshaping industries. Through an application demo, we will showcase practical implementation, followed by an in-depth discussion on deploying LLM-based solutions using AWS cloud services. Attendees will gain insights into various LLM techniques, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG), with a comparison of their strengths and applications. By the end of the session, participants will understand how to effectively operationalize LLMs to deliver impactful solutions that drive business value. This talk is designed for professionals interested in AI/ML, cloud deployment, and cutting-edge innovations in natural language processing.

 

Brief Profile:

Swati is a Senior Machine Learning Engineer/Data Scientist at JP Morgan Chase Bank, USA, specializing in AI/ML, LLMs, and GenAI research. She excels in end-to-end model development and deployment, focusing on leveraging AI/ML and LLMs to address business challenges. Her expertise lies in operationalizing models to solve real-world problems, delivering impactful solutions, and driving value for the organization.

 

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