The rise and potential of large language model based agents: A survey
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …
human intelligence. AI agents, which are artificial entities capable of sensing the …
A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …
communities. Previous research often focuses on training agents with limited knowledge …
Dspy: Compiling declarative language model calls into self-improving pipelines
The ML community is rapidly exploring techniques for prompting language models (LMs)
and for stacking them into pipelines that solve complex tasks. Unfortunately, existing LM …
and for stacking them into pipelines that solve complex tasks. Unfortunately, existing LM …
A review of large language models and autonomous agents in chemistry
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …
impacting molecule design, property prediction, and synthesis optimization. This review …
The Crossroads of LLM and Traffic Control: A Study on Large Language Models in Adaptive Traffic Signal Control
Recent advancements in Large Language Models (LLMs) have ushered in opportunities to
craft agents that exhibit human-like cognitive abilities, notably reasoning and planning …
craft agents that exhibit human-like cognitive abilities, notably reasoning and planning …
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
The ML community is rapidly exploring techniques for prompting language models (LMs)
and for stacking them into pipelines that solve complex tasks. Unfortunately, existing LM …
and for stacking them into pipelines that solve complex tasks. Unfortunately, existing LM …
Multi-agent large language models for conversational task-solving
J Becker - arxiv preprint arxiv:2410.22932, 2024 - arxiv.org
In an era where single large language models have dominated the landscape of artificial
intelligence for years, multi-agent systems arise as new protagonists in conversational task …
intelligence for years, multi-agent systems arise as new protagonists in conversational task …
[PDF][PDF] Large language model as a policy teacher for training reinforcement learning agents
Recent studies have uncovered the potential of Large Language Models (LLMs) in
addressing complex sequential decision-making tasks through the provision of high-level …
addressing complex sequential decision-making tasks through the provision of high-level …
A survey on enhancing reinforcement learning in complex environments: Insights from human and llm feedback
Reinforcement learning (RL) is one of the active fields in machine learning, demonstrating
remarkable potential in tackling real-world challenges. Despite its promising prospects, this …
remarkable potential in tackling real-world challenges. Despite its promising prospects, this …
A smart interactive camera robot based on large language models
Z Bao, GN Zhu, W Ding, Y Guan… - … on Robotics and …, 2023 - ieeexplore.ieee.org
The emergence of large language models (LLMs) has paved the way for advancing robotics
capabilities, especially in intricate tasks that demand nuanced comprehension and …
capabilities, especially in intricate tasks that demand nuanced comprehension and …