Publications (4)
Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP
Satya Narayana Cheetirala, Ganesh Raut, Dhavalkumar Patel +9
Long text classification is challenging for Large Language Models (LLMs) due to token limits and high computational costs. This study explores whether a Retrieval Augmented Generat…
Natural Language Programming in Medicine: Administering Evidence Based Clinical Workflows with Autonomous Agents Powered by Generative Large Language Models
Akhil Vaid, Joshua Lampert, Juhee Lee +26
Generative Large Language Models (LLMs) hold significant promise in healthcare, demonstrating capabilities such as passing medical licensing exams and providing clinical knowledge.…
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services
Dhavalkumar Patel, Ganesh Raut, Satya Narayan Cheetirala +5
Generative AI is transforming enterprise application development by enabling machines to create content, code, and designs. These models, however, demand substantial computational…
Leveraging Machine Learning Force Fields (MLFFs) to Simulate Large Atomistic Systems for Fidelity Improvement of Superconducting Qubits and Sensors
Søren Smidstrup, Shela Aboud, Ricardo Borges +4
Materials engineering using atomistic modeling is an essential tool for the development of qubits and quantum sensors. Traditional density-functional theory (DFT) does however not…