Tutorial session on state space models (SSMs) and Mamba architecture as alternatives to transformer models for sequence modeling.
Day 2 workshop on mastering foundations of LLM development on NVIDIA platforms. IndiaAI Official Pre-Summit Event for AI Impact Summit 2026.
Multi-session hands-on lecture series on foundational models development lifecycle, powered by PARAM Siddhi-AI supercomputer. Delivered session on ‘Deploying Foundational Models - Challenges and Best Practices’.
Presented work on building large-scale foundation models for Indian languages, covering data collection, training architecture, and deployment challenges for multilingual LLMs.
Half-day invited tutorial on data-efficient machine learning for educational content creation, featuring the UDAAN translation ecosystem that has translated 100+ technical books across 11+ Indian languages.
Presented two papers at EMNLP 2022 Findings - a benchmark for post-OCR text correction in Sanskrit and a demonstration of SPEAR data programming library.
