高级本地人工智能:使用 Ollama 和 OpenClaw 构建数字员工

📄 中文摘要

2025年被称为“本地大型模型之年”,人们已经习惯使用Ollama运行Llama 3或DeepSeek进行聊天和代码询问。然而到了2026年,单纯的对话已无法满足科技爱好者的需求。人们渴望能够真正为我们工作的智能代理,而不仅仅是会说话的程序。结合Ollama强大的推理能力与OpenClaw的功能,可以构建出更为高效的数字员工,满足复杂的工作需求,推动人工智能在各个领域的应用和发展。

📄 English Summary

Advanced Local AI: Building Digital Employees with Ollama + OpenClaw

The year 2025 was dubbed the 'Year of Local Large Models,' with users accustomed to running Llama 3 or DeepSeek via Ollama for chatting and coding inquiries. However, by 2026, simple conversation no longer satisfies the cravings of tech enthusiasts. There is a growing desire for Agents that can not only converse but also genuinely work on our behalf. By combining Ollama's powerful reasoning capabilities with OpenClaw's functionalities, it is possible to build more efficient digital employees that meet complex work demands, thereby advancing the application and development of AI across various fields.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等