The recent surge in research interest in applying large language models (LLMs) to decision- making tasks has flourished by leveraging the extensive world knowledge embedded in …
AI tasks encompass a wide range of domains and fields. While numerous AI models have been designed for specific tasks and applications, they often require considerable human …
ChatGPT, the first large language model (LLM) with mass adoption, has demonstrated remarkable performance in numerous natural language tasks. Despite its evident …
Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of AI, both in research and commerce. Through instruction-tuning a large language model …
S Qiao, N Zhang, R Fang, Y Luo, W Zhou… - arXiv preprint arXiv …, 2024 - arxiv.org
Language agents have achieved considerable performance on various complex tasks. Despite the incessant exploration in this field, existing language agent systems still struggle …
Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various …
Recent months have seen the emergence of a powerful new trend in which large language models (LLMs) are augmented to become autonomous language agents capable of …
Y Kong, J Ruan, Y Chen, B Zhang, T Bao, S Shi… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have demonstrated proficiency in addressing tasks that necessitate a combination of task planning and the usage of external tools that require a …
We introduce Lumos, a novel framework for training language agents that employs a unified data format and a modular architecture based on open-source large language models …