multi-agent AI - aitoearn

multi-agent AI

Multi-Agent Collaboration Model Based on Strands Agents and Amazon Nova | Amazon Web Services

# Multi-Agent Generative AI Systems ### Harnessing Amazon Nova for Scalable Orchestration Multi-agent generative AI systems coordinate **multiple specialized AI agents** to solve complex, multi-dimensional tasks beyond the scope of any single model. By integrating agents with different skills or modalities — such as **language**, **vision**, **audio**, and **video** — they can work in

financial trading

Chinese Financial Trading Decision-Making Framework Based on Multi-Agent Large Language Models | Open Source Daily No.773

hsliuping/TradingAgents-CN GitHub Repository Stars: 7.8k | License: Apache-2.0 TradingAgents-CN is a Chinese-language financial trading decision framework built on multi‑agent large language models and tailored specifically for Chinese users. It supports stock analysis and investment decision-making in the A-share, Hong Kong, and US stock markets. Key Features * Multi-agent

AgentFlow

AI Online Reinforcement Learning “Learn While Doing”: Stanford Team Boosts 7B Model to Surpass GPT-4o

AgentFlow: A New Framework for Adaptive, Multi‑Agent Reasoning Overview Stanford and collaborators have introduced AgentFlow, a paradigm leveraging online reinforcement learning to help agentic systems "achieve more with less" — in some cases surpassing models like GPT‑4o. Core Concept: AgentFlow continuously enhances agents’ reasoning capabilities when tackling