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Pages that usually stop you
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SPAs, paywalls, anti-bot pages
Sixteen adapters cover WeChat, Zhihu, Feishu, Twitter and more. When a static fetch comes back empty, it escalates to a headless browser.
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Deep Dive: LLMs in Enterprise Production
Lin Ke, 2026-03-25
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# Deep Dive: LLMs in Enterprise Production > Lin Ke, 2026-03-25 ## Key Takeaways 1. LLMs are moving from lab experiments to production environments 2. RAG architecture is the preferred approach for enterprise apps 3. Agent workflows will redefine software development ## Background With the release of GPT-4, Claude, and other models, enterprises are seriously considering integrating LLMs into their core business workflows...
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Zhihu - Q&A Platform
How do you evaluate LLM adoption in enterprises?
In recent years, with breakthroughs in large language model technology, more and more enterprises are exploring integrating AI into core business...
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# How do you evaluate LLM adoption in enterprises? In recent years, with breakthroughs in large language model technology, more and more enterprises are exploring integrating AI into core business workflows. ## Three Key Trends - Multimodal capabilities becoming standard - Growing demand for private deployment - Agent frameworks flourishing
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An MCP server, Agent Skills, and llms.txt ship with it. Point Claude, Cursor, or your own agent at the host — no glue code.
Read this article and summarize the key points
Here are the key takeaways from the article:
- LLMs are moving from experiments to production
- RAG is the most practical architecture currently
- Agents will transform software development
The article also mentions an interesting case study...
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