AI glossary
Practical definitions of concepts that clients most often confuse or misinterpret. Every entry includes common pitfalls and concrete production context.
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GDPR and LLM (GDPR-compliant LLM)
A GDPR-compliant LLM deployment means personal data passed to the model is processed under GDPR principles of lawfulness, minimization, integrity, and data-subject rights — including right to be forgotten, access, and rectification. In practice it requires a DPA with the LLM provider, training opt-out, EU data residency, audit logging, and a DPIA.
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MCP server (Model Context Protocol)
An MCP server is a component implementing Model Context Protocol — an open standard introduced by Anthropic in 2024 that defines how large language models (LLMs) communicate with external systems: databases, APIs, business tools. An MCP server exposes tools, resources, and prompts to AI clients in a standardized, auditable way.
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RAG audit
A RAG (Retrieval-Augmented Generation) audit is a systematic review of a production RAG system covering retrieval quality, generation quality, cost, and security. The deliverable is a prioritized fix list: from chunking strategy and embedding model selection, through evaluation framework, to LLM call cost optimization.
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