My Courses
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Proprietary vs Open-Source AI Models in Generative AI
Explore the pivotal debate between proprietary and open-source AI models, focusing on cost efficiency, performance, and long-term viability in the transformative landscape of Generative AI.
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Positioning Your Enterprise as a Leader Through Strategic Upskilling with ADaSci
From Trends to Leadership: A Comprehensive Guide to Upskilling for Generative AI Excellence with ADaSci
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Breaking the Language Barrier: Natural Language to SQL Using Large Language Models
Author(s): Suvojit Hore, Akshit Jain, Maninder Kaur, Kushal Singhal, Trimith Chatterjee, Shashank Shekhar, Sheenam Kumar, Vivek Sharma, Ramesh Kumar, Shubham Agarwal
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Effective Working Capital Management Using Machine Learning (ML)
Author(s): A.N. Srinivasan, M. Shanmuga Sundaram, Sayan Ray
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Advancing Onboarding in Narcotics Enforcement: An Innovative AI Companion
Author(s): Renuka Tammali, Rohan Devagiri, Kumboji Nikhil Kumar, B Leela Krishna Lalasa, Siva Prasad Polepally,
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Enhancing Taxpayer Risk Prediction through LLM- Driven Profile Tuning
Author(s): Shubhradeep Nandi, Kalpita Roy
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Enhancing Zero-Shot Image Classification: A Triad Approach with Prompt Refinement, Confidence Calibration, and Ensembling
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
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
Abstract(s): Praneet Kuber, Gaurav Adke, Ameya Divekar, Varun Malhotra
