An exploration of Digital Twin technologies, their evolution, and the integration of Knowledge Graphs for enhanced capabilities in smart manufacturing and Industry 5.0 applications.
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Overview of LLM-based agents, including single-agent and multi-agent systems, core components (planning, memory, tool use), and common coordination and planning patterns.
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An in-depth exploration of preference alignment techniques for LLMs, including Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO).
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This article compares monolithic data lake architecture with the decentralized data mesh approach. While data lakes centralize data for easier access, they face scalability challenges. Data mesh treats data as a product owned by domain teams, enhancing agility through four key principles: domain-oriented ownership, data as a product, self-serve infrastructure, and federated governance.
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This article explores the world of Big Data, covering core concepts like the 4Vs (Volume, Velocity, Variety, Veracity), key technologies including Hadoop, Kafka, and Spark, and modern architectures such as Persistent Staging Areas and real-time processing systems. It provides a comprehensive overview of the technologies that emerged to address the challenges of modern data growth beyond traditional database capabilities.
