1 citations · 1 across the 2 of their papers we have counts for
4 papers
LLM Compression: How Far Can We Go in Balancing Size and Performance?
Sahil Sk, Debasish Dhal, Sonal Khosla +6
Quantization is an essential and popular technique for improving the accessibility of large language models (LLMs) by reducing memory usage and computational costs while maintainin…
Applications and Challenges of AI and Microscopy in Life Science Research: A Review
Himanshu Buckchash, Gyanendra Kumar Verma, Dilip K. Prasad
The complexity of human biology and its intricate systems holds immense potential for advancing human health, disease treatment, and scientific discovery. However, traditional manu…
Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs
Himanshu Buckchash, Momojit Biswas, Rohit Agarwal +1
Handling haphazard streaming data, such as data from edge devices, presents a challenging problem. Over time, the incoming data becomes inconsistent, with missing, faulty, or new i…
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language
Ronny Paul, Himanshu Buckchash, Shantipriya Parida +1
Sámi, an indigenous language group comprising multiple languages, faces digital marginalization due to the limited availability of data and sophisticated language models designed f…