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  • Enhancing Zero-Shot Image Classification: A Triad Approach with Prompt Refinement, Confidence Calibration, and Ensembling

    Vaibhav Kumar

    Author(s): Sabarish Vadarevu, Raghav Mehta, Rakshith Sundaraiah, Vijay Karamcheti

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  • Design of Reward Function for Multi-Objective Adaptive Cruise Control using Deep Reinforcement Learning

    Vaibhav Kumar

    Author(s): Praveen Prasath KV, Rahul Benjamin D

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  • End-to-end point cloud-based generative model for multi-part engineering designs

    Vaibhav Kumar

    Abstract(s): Praneet Kuber, Gaurav Adke, Ameya Divekar, Varun Malhotra

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  • Revolutionising Market Surveys through Unprecedented Generative AI for Efficient Data Synthesis

    Vaibhav Kumar

    Abstract(s): Rahul Pandey, Nishchay Mahor, Shubham Kansal

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  • Enhancing Investment Committee Decisions with LLM-Powered Q&A Assistance : Best practices for Building LLM-Powered Enterprise Knowledge Retrieval

    Vaibhav Kumar

    Abstract(s): Vijay Morampudi

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  • Democratize data analysis and insights generation through the seamless translation of Natural Language into SQL queries

    Vaibhav Kumar

    Abstract(s): Nikhil Ahuja, Pothukuchi Saketh, Siddhartha Pradeep

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  • Using Large Language Models to Run Efficient Ad- campaigns: Applications of LLM in Programmatic Advertising

    Vaibhav Kumar

    Author(s): Prakhar Yadav, Divya Prabha M, Manish Pathak, Ritwik Kulkarni, Srijan Mehrotra

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  • Revolutionizing Energy Trading: Advancing the Energy Market with a Cutting-Edge Conversational generative AI powered Forecasting Tool

    Vaibhav Kumar

    Author(s): Indrajit Kar, Zonunfeli Ralte, Arti Kumari, Maheshakumara Shivakumara

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  • Modelling Approach for enhanced market expansion in Digital Marketing in B2B space

    Vaibhav Kumar

    Author(s): Humeil Makhija, Vivek Vishwas Vichare, S. Sreyas Chaithanya

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  • An Empirical Analysis of Deep Learning Models for Electric Vehicle Load Disaggregation

    Vaibhav Kumar

    Author(s): Dilpreet Kaur Rehsi

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