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From open-source models to commercial APIs, and enterprise-trained models, each source involves issues of licensing and risk. This article helps enterprises quickly sort out the differences in model licensing, creating intuitive and lawful adoption strategies.
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AI Studio is the central platform for enterprises to introduce AI. This article explains, from a practical perspective, how to integrate UI, data, prompts, and APIs to create a fully functional AI control center.
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From GitHub Copilot to GPT Code Interpreter, what role does AI play in the development process? How should developers leverage it instead of relying on it? NTech shares practical experience.
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AI × Visual Data: When Text Models Meet Images, Tables, and PDFs. AI can not only read text, it can now also see images, tables, and even PDFs. This capability comes from breakthroughs in 'Multimodal Large Language Models'...
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Can Manufacturing Also Use It? AI Application Guide for Production Lines, Quality Control, and Technical Support. When talking about AI, many people first think of office automation, content generation, customer service chat...
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AI × Customer Service Center: How to Build a 24/7 Super Customer Service? The customer service center is the most direct point of contact between enterprises and customers. With the development of AI technology...
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AI Implementation Failure Case Analysis: Five Lessons Learned from Mistakes. AI technology may seem omnipotent, but more enterprises fail at implementation than you might think. Overly high expectations, lack of planning, wrong methods...
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