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Empowering the future

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    As a software engineer with AI expertise, I have observed significant advancements from companies like OpenAI and Anthropic in 2024. Despite progress, enterprise AI faces challenges such as high token costs, private deployment difficulties, and industry knowledge gaps. In 2025, I propose focusing on distillation technology, optimizing deployment strategies, and developing Agent frameworks to enhance AI efficiency and applicability in enterprises, ultimately improving competitiveness and supporting broader AI adoption.