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Vijay Aski
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2020 – today
- 2024
- [i6]Maria Angels de Luis Balaguer, Vinamra Benara, Renato Luiz de Freitas Cunha, Roberto de M. Estevão Filho, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo O. Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra:
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture. CoRR abs/2401.08406 (2024) - [i5]Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo O. Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas, Todd Hendry:
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning. CoRR abs/2404.00213 (2024) - [i4]Arjun Singh, Nikhil Pandey, Anup Shirgaonkar, Pavan Manoj, Vijay Aski:
A Study of Optimizations for Fine-tuning Large Language Models. CoRR abs/2406.02290 (2024) - [i3]Noel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaría-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garrett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei:
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. CoRR abs/2410.06542 (2024) - [i2]Anup Shirgaonkar, Nikhil Pandey, Nazmiye Ceren Abay, Tolga Aktas, Vijay Aski:
Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Data. CoRR abs/2410.18588 (2024) - 2023
- [i1]Bruno Silva, Leonardo O. Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra:
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models. CoRR abs/2310.06225 (2023)
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