LangChain创始人分析模型中立性为何是进攻策略，做多模型智能体应用的人别错过这三个关键理由。
LangChain创始人Harrison Chase指出，模型中立性比云中立性更具进攻性。理由有三：模型变化速度远快于云基础设施，需保持中立应对快速迭代；不同模型在特定任务上选择性商品化，可同时使用多个；单次运行中可能需一个大型模型驱动核心智能体，搭配多个小型子模型。这与云时代仅在合同期或故障时切换不同。
🇨🇭Why model neutrality matters more than cloud neutrality did In the cloud era, companies opted f...
🇨🇭Why model neutrality matters more than cloud neutrality did In the cloud era, companies opted for cloud neutrality as a defensive mechanism Model neutrality can be a **offensive** mechanism. It's more important than cloud neutrality for 3 reasons: 1/ The rate of change is much greater with models than with cloud infrastructure. The quicker things change, the more important it is to be neutral 2/ Models are selectively commoditizing. Some models are best at specific tasks. This means you may want to use multiple at the same time 3/ Model neutrality matters within a single run. You may want one big model driving the core agent, and then smaller different models as subagents. This is different from cloud (where you'd generally switch clouds only between contracts or during an outage) For these reasons, model neutrality isn't just about defending against vendor lock in. It's about getting the most out of your agentic applications. Our own Neil Dalke (Director, Deployed Eng) wrote about this last week langchain.com/blog/model-neu… wm Very timely in light of recent events! 💬 8 🔄 2 ❤️ 13 👀 996 📊 9 ⚡