Zobrazeno 1 - 10
of 625
pro vyhledávání: '"Kokane A"'
Autor:
Kokane, Shirley, Zhu, Ming, Awalgaonkar, Tulika, Zhang, Jianguo, Hoang, Thai, Prabhakar, Akshara, Liu, Zuxin, Lan, Tian, Yang, Liangwei, Tan, Juntao, Murthy, Rithesh, Yao, Weiran, Liu, Zhiwei, Niebles, Juan Carlos, Wang, Huan, Heinecke, Shelby, Xiong, Caiming, Savarese, Silivo
Evaluating the output of Large Language Models (LLMs) is one of the most critical aspects of building a performant compound AI system. Since the output from LLMs propagate to downstream steps, identifying LLM errors is crucial to system performance.
Externí odkaz:
http://arxiv.org/abs/2411.13547
Autor:
Liu, Zhiwei, Yao, Weiran, Zhang, Jianguo, Murthy, Rithesh, Yang, Liangwei, Liu, Zuxin, Lan, Tian, Zhu, Ming, Tan, Juntao, Kokane, Shirley, Hoang, Thai, Niebles, Juan Carlos, Heinecke, Shelby, Wang, Huan, Savarese, Silvio, Xiong, Caiming
We introduce the Principled Reasoning and Acting (PRAct) framework, a novel method for learning and enforcing action principles from trajectory data. Central to our approach is the use of text gradients from a reflection and optimization engine to de
Externí odkaz:
http://arxiv.org/abs/2410.18528
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
Publikováno v:
28th International Symposium on VLSI Design and Test (VDAT 2024)
This paper presents the Hybrid Overestimating Approximate Adder designed to enhance the performance in processing engines, specifically focused on edge AI applications. A novel Plus One Adder design is proposed as an incremental adder in the RCA chai
Externí odkaz:
http://arxiv.org/abs/2408.00806
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:
Zhang, Jianguo, Lan, Tian, Murthy, Rithesh, Liu, Zhiwei, Yao, Weiran, Zhu, Ming, Tan, Juntao, Hoang, Thai, Liu, Zuxin, Yang, Liangwei, Feng, Yihao, Kokane, Shirley, Awalgaonkar, Tulika, Niebles, Juan Carlos, Savarese, Silvio, Heinecke, Shelby, Wang, Huan, Xiong, Caiming
Autonomous agents powered by large language models (LLMs) have garnered significant research attention. However, fully harnessing the potential of LLMs for agent-based tasks presents inherent challenges due to the heterogeneous nature of diverse data
Externí odkaz:
http://arxiv.org/abs/2402.15506
Autor:
Kala Gnanasekaran Kiruthiga, Sarita Verma Kokane, Kannan Subramanian, Avinash Pradhan, Ravi Godbole
Publikováno v:
Pediatric Hematology Oncology Journal, Vol 9, Iss 4, Pp 267-270 (2024)
Background: Non-neoplastic, reactive proliferation of Langerhans cells is observed in leukemias, pseudo-lymphomas, carcinomas, etc. Juvenile myelomonocytic leukemia (JMML) is a rare myelodysplastic/myeloproliferative neoplasm with a few overlapping c
Externí odkaz:
https://doaj.org/article/b0b0baf2fd1841c4bc7668c9fc139b92
Autor:
Ashutosh Gulati, Surabhi Kokane, Annemarie Perez-Boerema, Claudia Alleva, Pascal F. Meier, Rei Matsuoka, David Drew
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Intracellular potassium (K+) homeostasis is fundamental to cell viability. In addition to channels, K+ levels are maintained by various ion transporters. One major family is the proton-driven K+ efflux transporters, which in gram-negative ba
Externí odkaz:
https://doaj.org/article/200bb1556d5e4500854c946fe0c7f7ce