// CLIE_AI_LRN
Clie-AI-LRN
A structured, plain-English dictionary of AI engineering concepts, and a step-by-step curriculum roadmap. Look up emerging jargon, understand core mechanics, and learn to build AI systems from scratch.
man ai — interactive search console
↑↓ to navigate · ↵ to open · 73 entries compiled
// PRODUCT_0173 entries compiled
AI Coding Dictionary
A structured reference index explaining emerging AI terms, stateful tools, cache metrics, failure modes, and developer conventions in plain English.
§01 The Model & Parameters
§05 Parametric & Contextual Memory
§09 Skills, Subagents & Review
// PRODUCT_0220 phases · 503 lessons
Learning Curriculum
A comprehensive, step-by-step roadmap for software engineers learning to build AI systems. Code math layers, train neural models, and build multi-agent containers from scratch.
COMPLETION PROGRESS0%
// FEATURED_AI_VOCABULARY
// ESSENTIAL_CONCEPTS_TO_START_WITHRetrieval-Augmented Generation (RAG)An architectural pattern that extends a model's knowledge by retrieving relevant snippets from a local document database and injecting them into the context window at query time.
READ_TERM →Agent EngineeringAn architectural design pattern where an LLM is embedded within a stateful loop, allowing it to deconstruct goals, invoke tools, inspect environment feedback, and self-correct.
READ_TERM →Model Context Protocol (MCP)An open standard protocol that connects AI clients (like IDEs or chat interfaces) to external tools, databases, and data resources using a uniform client-server API structure.
READ_TERM →EmbeddingsHigh-dimensional coordinate lists (vectors) that represent the semantic meaning of text, images, or audio, placing related concepts close to each other in a continuous geometric space.
READ_TERM →Vector DatabasesSpecialized database systems designed to store, index, and query high-dimensional vector embeddings rapidly using Approximate Nearest Neighbor (ANN) search algorithms.
READ_TERM →