Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Khizbullin, Dmitrii"'
Autor:
Zhuge, Mingchen, Zhao, Changsheng, Ashley, Dylan, Wang, Wenyi, Khizbullin, Dmitrii, Xiong, Yunyang, Liu, Zechun, Chang, Ernie, Krishnamoorthi, Raghuraman, Tian, Yuandong, Shi, Yangyang, Chandra, Vikas, Schmidhuber, Jürgen
Contemporary evaluation techniques are inadequate for agentic systems. These approaches either focus exclusively on final outcomes -- ignoring the step-by-step nature of agentic systems, or require excessive manual labour. To address this, we introdu
Externí odkaz:
http://arxiv.org/abs/2410.10934
Autor:
Khizbullin, Dmitrii, de Andrade, Eduardo Rocha, Nguyen, Thanh Hau, Ferreira, Matheus Pedroza, Pugh, David R.
With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as operators transforming multidimensional tensors.
Externí odkaz:
http://arxiv.org/abs/2405.16623
Autor:
Zhuge, Mingchen, Wang, Wenyi, Kirsch, Louis, Faccio, Francesco, Khizbullin, Dmitrii, Schmidhuber, Jürgen
Various human-designed prompt engineering techniques have been proposed to improve problem solvers based on Large Language Models (LLMs), yielding many disparate code bases. We unify these approaches by describing LLM-based agents as computational gr
Externí odkaz:
http://arxiv.org/abs/2402.16823
The rapid advancement of chat-based language models has led to remarkable progress in complex task-solving. However, their success heavily relies on human input to guide the conversation, which can be challenging and time-consuming. This paper explor
Externí odkaz:
http://arxiv.org/abs/2303.17760
The rapid advancement of conversational and chat-based language models has led to remarkable progress in complex task-solving. However, their success heavily relies on human input to guide the conversation, which can be challenging and time-consuming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28b70a35418df33808acdd6c1db901e2
http://arxiv.org/abs/2303.17760
http://arxiv.org/abs/2303.17760