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LLM

关于LLM的Kodenique博客文章 — 软件开发、云、AI与数字化转型洞察。

5 篇文章

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.

2026年9月16日阅读约 6 分钟

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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.

2026年9月15日阅读约 6 分钟

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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.

2026年9月7日阅读约 4 分钟

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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.

2026年9月6日阅读约 4 分钟

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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.

2026年9月5日阅读约 4 分钟

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