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pro vyhledávání: '"Anand Gokul"'
Autor:
Mahalingam, Anand Gokul, Shah, Aayush, Gulati, Akshay, Mascarenhas, Royston, Panduranga, Rakshitha
Improving performance in multiple domains is a challenging task, and often requires significant amounts of data to train and test models. Active learning techniques provide a promising solution by enabling models to select the most informative sample
Externí odkaz:
http://arxiv.org/abs/2304.06277
Autor:
Anand Gokul
Large Language Models (LLMs) have revolutionized the field of Artificial Intelligence with their ability to understand and generate natural language discourse. This has led to the use of LLMs in various creative fields such as music, art, and storyte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e4307f32a3c258c793f856b18ed87da
https://doi.org/10.20944/preprints202305.0195.v1
https://doi.org/10.20944/preprints202305.0195.v1
Autor:
Srivatsan Balasubramanian, Bodhisattwa Gangopadhyay, Vinayak Dangui, Satyajeet Singh Ahuja, Varun Gupta, Grigory Pastukhov, Max Noormohammadpour, Alexander Nikolaidis, Ariyani Copley, Xueqi He, Jiachuan Tian, Jiajia Chen, Arash Vakili, Chiun Lin Lim, Guanqing Yan, Anand Gokul, Biao Lu, Debottym Mukherjee
Publikováno v:
2022 International Conference on Optical Network Design and Modeling (ONDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af30c5ef1957073c54d7c591e9d57022
https://doi.org/10.23919/ondm54585.2022.9782839
https://doi.org/10.23919/ondm54585.2022.9782839
Akademický článek
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