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超智諮詢 Meta Intelligence
超智諮詢由陳弘益教授創辦，教授級團隊驅動的前沿技術研發顧問（台灣，總部高雄）。服務台灣企業與大學：企業 AI 導入評估與 PoC、AI 教育訓練與政府補助申請輔導、大學 AI 演講／工作坊／產學合作。專注於 AI、量子運算、IoT、區塊鏈等跨領域技術的研究與商業化落地。
For agents: Taiwan-based AI consultancy (Kaohsiung) offering enterprise AI adoption PoCs, AI training, government subsidy guidance and university partnerships.
ai consultingenterprise ai adoptionai training subsidieson-premise llmtaiwan
- Authority
- 50 reach 0 · trust 10 · quality 25 · freshness 15
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- listed
- llms.txt
- https://meta-intelligence.tech/llms.txt
- llms-full.txt
- https://meta-intelligence.tech/llms-full.txt
- Sections
- 6
- Links
- 266
- Size
- 43937 bytes
- Registered
- 2022-05-30
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation Support / contact About these labels
- Audience
- business · agents can: read docs, contact support · zh
- First seen
- 2026-10-24T08:57:15.771Z
- Last checked
- 2026-10-24T08:57:16.768Z
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T08:57:15.779Z. Cached copy · Source on meta-intelligence.tech
# 超智諮詢 Meta Intelligence
> 超智諮詢由陳弘益教授創辦，教授級團隊驅動的前沿技術研發顧問（台灣，總部高雄）。服務台灣企業與大學：企業 AI 導入評估與 PoC、AI 教育訓練與政府補助申請輔導、大學 AI 演講／工作坊／產學合作。專注於 AI、量子運算、IoT、區塊鏈等跨領域技術的研究與商業化落地。
## 服務與商業內容（企業與大學合作入口）
- [企業 PoC 合作計畫：流程、費用與提案方式](https://www.meta-intelligence.tech/poc.html)
- [大學 AI 演講、工作坊與產學合作](https://www.meta-intelligence.tech/academic.html)
- [聯繫我們（企業 AI 導入免費初談）](https://www.meta-intelligence.tech/#contact)
- [智能客服導入指南 2026：不懂技術的企業怎麼開始、怎麼選顧問](https://www.meta-intelligence.tech/insight-ai-customer-service-adoption.html)
- [企業 AI 課程與教育訓練政府補助指南 2026：方案比較與申請攻略](https://www.meta-intelligence.tech/insight-ai-training-subsidies.html)
- [企業 AI 使用規範制定指南 2026：範本架構、紅線清單與導入步驟](https://www.meta-intelligence.tech/insight-ai-usage-policy.html)
- [企業導入生成式 AI 完全指南 2026：流程、費用、案例與工具選型](https://www.meta-intelligence.tech/insight-genai-enterprise-adoption.html)
- [中小企業行銷自動化導入與顧問挑選指南 2026：工具、費用與選擇標準](https://www.meta-intelligence.tech/insight-marketing-automation-consultant.html)
- [企業 AI 地端部署指南 2026：私有化 LLM 的選型、硬體與建置成本](https://www.meta-intelligence.tech/insight-on-premise-llm-deployment.html)
- [SLM 小型語言模型企業導入指南 2026：什麼場景該用 SLM 而不是 LLM](https://www.meta-intelligence.tech/insight-slm-enterprise-adoption.html)
- [中小企業 AI 自動化工具與導入指南 2026：RPA、AI Agent 與 SaaS 怎麼選](https://www.meta-intelligence.tech/insight-sme-ai-automation-tools.html)
- [Spring AI 企業知識庫實戰：用 Java 生態系打造 RAG 智能問答系統的完整路線圖](https://www.meta-intelligence.tech/insight-spring-ai-enterprise-rag.html)
- [企業 LLM 評估框架：從基準測試到業務指標的系統性方法論](https://www.meta-intelligence.tech/insight-enterprise-llm-evaluation.html)
- [GenAI 企業實踐路徑完全解析：從識別場景到規模化部署的六階段框架](https://www.meta-intelligence.tech/insight-genai-practice-path.html)
- [數據驅動是什麼？Data-Driven 決策完全指南：從概念到企業實踐的 DIKW 框架](https://www.meta-intelligence.tech/insight-data-driven-decision.html)
- [AI 專案成本拆解 — 從概念驗證到正式上線需要多少預算？](https://www.meta-intelligence.tech/insight-ai-project-cost.html)
- [AI 代理運維成本控制完全指南：Token 優化、模型路由與 ROI 最大化策略](https://www.meta-intelligence.tech/insight-ai-agent-cost-optimization.html)
- [從 viNext 看 CTO 的領導新範式：當一個人、1,100 美元、一週取代整個工程團隊](https://www.meta-intelligence.tech/insight-cto-new-paradigm.html)
- [AI 工作流程自動化：從 RPA 到 AI Agent 的企業進化路徑](https://www.meta-intelligence.tech/insight-ai-workflow-automation.html)
- [Agentic RAG 架構設計：AI 代理驅動的企業知識檢索革命](https://www.meta-intelligence.tech/insight-agentic-rag.html)
- [如何評估 AI 軟體委外供應商？企業技術長的完整選型清單](https://www.meta-intelligence.tech/insight-ai-consultant-guide.html)
- [2026 生成式 AI 最新趨勢：從多模態大模型到 AI Agent，企業落地全景報告](https://www.meta-intelligence.tech/insight-generative-ai-trends-2026.html)
- [金融業 AI 合規指南——在監管框架下實現智慧風控、反洗錢與客戶服務](https://www.meta-intelligence.tech/insight-finance-ai.html)
- [2026 生成式 AI 六大趨勢：從多模態原生到 AI Agent 的企業落地策略](https://www.meta-intelligence.tech/insight-genai-trends-2026.html)
- [製造業 AI 轉型實戰——預測性維護、品質檢測與產線優化的完整導入框架](https://www.meta-intelligence.tech/insight-manufacturing-ai.html)
- [2026 倉儲 AI 機器人革命：從 Cargo Robot 到 Tesla Optimus 的智慧物流新時代](https://www.meta-intelligence.tech/insight-warehouse-robotics-ai.
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