Overview AI engineering requires patience, projects, and strong software engineering fundamentals.Recruiters prefer practical ...
Build a Production-Ready RAG system for intelligent Q&A over PDFs (policies, contracts, resumes). Powered by OpenAI Structured Outputs, Pydantic for schema enforcement, ChromaDB for local vector ...
Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...
Abstract: Natural language interfaces to databases promise to democratize data access, yet current text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.
로컬 환경에서 NVIDIA GPU를 활용하여 EXAONE 7.8B LLM 기반의 RAG(Retrieval-Augmented Generation)와 AI Agent를 완전히 구동하는 레퍼런스 시스템입니다.
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