AI agents powered by large language models (LLMs) have shown strong capabilities in problem solving. Through combining many intelligent agents, multi-agent collaboration has emerged as a promising approach to tackle complex, multi-faceted problems th...
The rapid development of advanced AI agents and the imminent deployment of many instances of these agents will give rise to multi-agent systems of unprecedented complexity. These systems pose novel and under-explored risks. In this report, we provide...
**Like many of you, I’ve been deep into exploring the world of AI agents — building, testing, and comparing different frameworks.** One thing that kept bothering me was how hard it is to explore ...
**Like many of you, I’ve been deep into exploring the world of AI agents — building, testing, and comparing different frameworks.** One thing that kept bothering me was how hard it is to explore ...
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Optimising deep neural networks is a challenging task due to complex training dynamics, high computational requirements, and long training times. To address this difficulty, we propose the framework of Generalisable Agents for Neural Network Optimisa...
Soon, Visier will provide AI-driven advice and, with AI Agents, automate complex tasks under human supervision. Leveraging data from across the business, Visier will empower your workforce to …
Mar 15, 2024 · Intelligence activities and secret agents have been around since Biblical times. Spies in history include the spies of the American Revolution, the U.S. Civil War, both World Wars, and the …
Mar 6, 2024 · Dear ringThis is now the 4-5 time my alarm has falsely trigger 5 or so minutes after arming and leaving. I called today and the very unprofessional agents accent was difficult to understand. As …
Build autonomous AI agents for the Zero-Employee Enterprise (ZEE). Create intelligent, context-aware agents with unprecedented ease and functionality. (⭐ 119)
As AI systems become increasingly autonomous, understanding emergent survival behaviors becomes crucial for safe deployment. We investigate whether large language model (LLM) agents display survival instincts without explicit programming in a Sugarsc...
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Awesome list of 300+ agentic AI resources (⭐ 1298)
PAUL ZAMMIT REAL ESTATE LTD., BROKERAGE Agents
In Multi-Agent Systems (MAS) there are two main models of interaction: among agents, and between agents and the environment. Although there are studies considering these models, there is no practical tool to afford the interaction with external entit...
Socially Interactive Agents (SIAs) are physical or virtual embodied agents that display similar behavior as human multimodal behavior. Modeling SIAs' non-verbal behavior, such as speech and facial gestures, has always been a challenging task, given t...
Large Language Models (LLMs) show strong collaborative performance in multi-agent systems with predefined roles and workflows. However, in open-ended environments lacking coordination rules, agents tend to act in self-interested ways. The central cha...
The notable success of large language models (LLMs) has sparked an upsurge in building language agents to complete various complex tasks. We present AMOR, an agent framework based on open-source LLMs, which reasons with external knowledge bases and a...
You can now build **Azure AI Agents** in under a minute. No code. No setup. Just paste a prompt and go live. Watch the video below: [https://www.youtube.com/watch?v=JubaVg2VoDI](https://www.youtu...
This paper presents a novel approach to representing task assignments for partitioned agents (respectively, tasks) in distributed systems. A partition of agents (respectively, tasks) is represented by a Young tableau, which is one of the main tools i...