How realtor com monitors amazon athena usage with aws cloudtrail and amazon quicksight amazon web services – Artofit

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How Realtor.com Monitors Amazon Athena Usage with AWS CloudTrail and Amazon QuickSight | Amazon Web Services
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Using Custom Source Actions in AWS CodePipeline for Increased Visibility for Third-Party Source Control | Amazon Web Services

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How Goodreads offloads Amazon DynamoDB tables to Amazon S3 and queries them using Amazon Athena | Amazon Web Services

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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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