Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kokane, Shirley"'
Autor:
Zhang, Jianguo, Lan, Tian, Zhu, Ming, Liu, Zuxin, Hoang, Thai, Kokane, Shirley, Yao, Weiran, Tan, Juntao, Prabhakar, Akshara, Chen, Haolin, Liu, Zhiwei, Feng, Yihao, Awalgaonkar, Tulika, Murthy, Rithesh, Hu, Eric, Chen, Zeyuan, Xu, Ran, Niebles, Juan Carlos, Heinecke, Shelby, Wang, Huan, Savarese, Silvio, Xiong, Caiming
Autonomous agents powered by large language models (LLMs) have attracted significant research interest. However, the open-source community faces many challenges in developing specialized models for agent tasks, driven by the scarcity of high-quality
Externí odkaz:
http://arxiv.org/abs/2409.03215
Transfer learning methods start performing poorly when the complexity of the learning task is increased. Most of these methods calculate the cumulative differences of all the matched features and then use them to back-propagate that loss through all
Externí odkaz:
http://arxiv.org/abs/2407.04871
Autor:
Liu, Zuxin, Hoang, Thai, Zhang, Jianguo, Zhu, Ming, Lan, Tian, Kokane, Shirley, Tan, Juntao, Yao, Weiran, Liu, Zhiwei, Feng, Yihao, Murthy, Rithesh, Yang, Liangwei, Savarese, Silvio, Niebles, Juan Carlos, Wang, Huan, Heinecke, Shelby, Xiong, Caiming
The advancement of function-calling agent models requires diverse, reliable, and high-quality datasets. This paper presents APIGen, an automated data generation pipeline designed to synthesize verifiable high-quality datasets for function-calling app
Externí odkaz:
http://arxiv.org/abs/2406.18518
Autor:
Murthy, Rithesh, Yang, Liangwei, Tan, Juntao, Awalgaonkar, Tulika Manoj, Zhou, Yilun, Heinecke, Shelby, Desai, Sachin, Wu, Jason, Xu, Ran, Tan, Sarah, Zhang, Jianguo, Liu, Zhiwei, Kokane, Shirley, Liu, Zuxin, Zhu, Ming, Wang, Huan, Xiong, Caiming, Savarese, Silvio
The deployment of Large Language Models (LLMs) and Large Multimodal Models (LMMs) on mobile devices has gained significant attention due to the benefits of enhanced privacy, stability, and personalization. However, the hardware constraints of mobile
Externí odkaz:
http://arxiv.org/abs/2406.10290
Autor:
Mevada, Jayeshkumar S., Rajput, Yogeshsing N., Chowdhary, Shaziya, Kokane, Shirley, Dias, Faith, Doke, Ranjeet B., Kulkarni, Ravindra D., Pratap, Amit P., Pandit, Aniruddha B.
Publikováno v:
Indian Chemical Engineer; Aug2023, Vol. 65 Issue 4, p335-351, 17p