The FewShot Prompting Publication

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Med-Flamingo: a Multimodal Medical Few-shot Learner – Discussion, Acknowledgments, and References | HackerNoon

Authors: (1) Michael Moor, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (2) Qian Huang, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (3) Shirley Wu, Department of Computer Science, Stanford University, Stanford, USA; (4) Michihiro Yasunaga, Department of Computer Science, Stanford University, Stanford, USA; (5) Cyril Zakka, Department of Cardiothoracic Surgery, Stanford Medicine, Stanford, USA; (6) Yash Dalmia,

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Med-Flamingo: a Multimodal Medical Few-shot Learner – Results | HackerNoon

Authors: (1) Michael Moor, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (2) Qian Huang, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (3) Shirley Wu, Department of Computer Science, Stanford University, Stanford, USA; (4) Michihiro Yasunaga, Department of Computer Science, Stanford University, Stanford, USA; (5) Cyril Zakka, Department of Cardiothoracic Surgery, Stanford Medicine, Stanford, USA; (6) Yash Dalmia,

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Software

Towards Automatic Satellite Images Captions Generation Using LLMs: References | HackerNoon

Authors: (1) Yingxu He, Department of Computer Science National University of Singapore {[email protected]}; (2) Qiqi Sun, College of Life Sciences Nankai University {[email protected]}. Table of Links References [1] Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, and Luke Zettlemoyer. CM3: A causal masked multimodal model of the internet. CoRR, abs/2201.07520, 2022. [2] Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael

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