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Multi-agents AI: what exactly is it? (Part 2) Q&A 1-How far are we from true autonomy? Many domain-specific multi-agent AI systems are already in action and… | 47 comments on LinkedIn
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Akshay Pachaar on LinkedIn: Traditional vs. Agentic RAG, clearly explained! The future is Agentic…

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Milan Jovanović on LinkedIn: I've worked with many different software architectures over the years.…

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Thang - 🤖 **Sự tiến hóa của AI Agents không chỉ là về mô hình thông minh hơn — mà là về hệ sinh thái phối hợp giữa các Agent!** Từ những dòng input đơn giản → đến các hệ thống AI có thể ghi nhớ, dùng công cụ, phối hợp với nhau và với con người. Bạn đang ứng dụng AI ở giai đoạn nào trong 6 level trên? Và bạn nghĩ bao lâu nữa chúng ta sẽ đến giai đoạn 6? ⏳ Cùng bàn luận nhé! 👇 ----- 𝐓𝐡𝐞 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐨𝐟 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 We’ve come a long way from basic text inputs to highly capable AI agents that can reason, retrieve, plan, and collaborate. Here’s a visual breakdown of how AI agents have evolved through 6 powerful stages: 1️⃣ LLM Processing Flow – Simple input/output based on a prompt. 2️⃣ LLMs with Document Understanding – Better comprehension of structured input. 3️⃣ RAGs + Tool Use – Combining retrieval with generation and using tools for better context. 4️⃣ Multi-Modal Workflows – Accepting text, images, audio, and video, along with memory & tools. 5️⃣ Advanced Agent Architecture – Decision-making with short-term & long-term memory, tool orchestration, and semantic context. 6️⃣ The Future of AI Agents – Inter-agent communication, compliance, human-AI collaboration, and modular agent ecosystems. 🚀 The future is not about just smarter models. It's about coordinated AI agents working in structured environments with memory, tools, and reasoning

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