Complex reasoning ability is one of the most important features of current LLMs, which has
also been leveraged to play an integral role in complex decision-making tasks. Therefore …

The rise of LLM-based agents shows great potential to revolutionize task planning, capturing
significant attention. Given that these agents will be integrated into high-stakes domains …

Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …

On-device Large Language Models (LLMs) are revolutionizing mobile AI, enabling
applications such as UI automation while addressing privacy concerns. Currently, the …

Abstract Large Language Models (LLMs) have revolutionized the landscape of natural
language processing, demonstrating remarkable abilities across various complex tasks …

The deployment of large language models (LLMs) brings challenges to intelligent systems
because its capability of integrating large-scale training data facilitates contextual reasoning …

The integration and deployment of large language model (LLM)-based intelligent agents
have been fraught with challenges that compromise their efficiency and efficacy. Among …

We introduce tulip agent, an architecture for autonomous LLM-based agents with Create,
Read, Update, and Delete access to a tool library containing a potentially large number of …

The integration and deployment of large language model (LLM)-based intelligent agents
have been fraught with challenges that compromise their efficiency and efficacy. Among …

The rise of LLM-based agents shows great potential to revolutionize task planning, capturing
significant attention. Given that these agents will be integrated into high-stake domains …