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What is Retrieval-Augmented Generation (RAG)?

Retrieval-Augmented Generation (RAG) is an AI technique that enhances text generation models by retrieving relevant information from external sources before generating responses. This approach improves the accuracy, relevance, and contextual awareness of AI-generated content. RAG is widely used in knowledge-based AI applications, including chatbots, search engines, and automated research tools.

Data Center Management
Data center management involves overseeing the operations, security, and maintenance of data centers, ensuring optimal performance, uptime, and efficiency. It includes server management, networking, cooling systems, disaster recovery planning, and cybersecurity measures. With the rise of cloud computing and edge computing, modern data center management integrates automation, AI, and hybrid infrastructure solutions to enhance scalability and cost-effectiveness.
Inference Attack
An inference attack is a cybersecurity threat where attackers deduce sensitive information from publicly available data. It is a major concern in AI models, differential privacy, and database security, requiring robust anonymization techniques to mitigate risks.
Data engineering
Data engineering is the field that focuses on designing, building, and maintaining data infrastructures. It involves ETL pipelines, data storage solutions, and database optimization to support analytics and AI-driven workflows.

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