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LLM

LLM 관련 Kodenique 블로그 글 — 소프트웨어 개발, 클라우드, AI, 디지털 전환 인사이트.

5개의 글

Multi-Agent Systems and MCP, Explained for Business Buyers

Multi-agent AI systems and the Model Context Protocol in plain business language — what they are, when they pay off, and what to ask vendors before buying.

2026년 9월 16일약 6분 소요

AI & Data AI LLM cost optimization

Do You Need a Frontier LLM? The Case for Small, Domain-Specific Models

When a small, domain-specific language model beats a frontier LLM on cost, privacy, and accuracy — and when the general-purpose model still earns its price.

2026년 9월 15일약 6분 소요

AI & Data AI pricing LLM

How Much Does It Cost to Build an AI Feature in 2026?

A realistic breakdown of what AI features cost in 2026 — discovery, data prep, build, evals, and the ongoing token and monitoring costs nobody quotes upfront.

2026년 9월 7일약 4분 소요

AI & Data AI strategy LLM

Build vs Buy in AI: LLM APIs, Fine-Tuning, or Off-the-Shelf Tools?

The three tiers of AI adoption — SaaS tools, API-based custom apps, and fine-tuned models — compared on cost, control, and effort, with a decision tree for SMEs.

2026년 9월 6일약 4분 소요

AI & Data AI RAG LLM

RAG Explained for Business: Make AI Answer From Your Data

Retrieval-augmented generation in plain language — how it makes AI answer from your company's documents, what it enables, and why data hygiene beats model choice.

2026년 9월 5일약 4분 소요