Jerry Liu分析了通用智能之外的蓝海，做垂直AI产品的开发者值得读读这条思路。
LlamaIndex创始人Jerry Liu发推指出，前沿实验室都在优化通用智能，这为其他人优化任务特定智能留出空间。每个任务需要不同的成本-能力权衡点，需要调整模型和工具来提升性能并降低成本。他认为开源模型、RL优化基础设施、垂直工作流以及像文档解析这样的领域专用模型，在快速增长的AI经济中有很大发展空间。
It does feel like every frontier lab is optimizing for general intelligence. This leaves room for e...
It does feel like every frontier lab is optimizing for general intelligence. This leaves room for everyone else to optimize for task-specific intelligence. Every task requires a different point on the cost-capability frontier. Optimizing for each task involves tuning the right set of models and harness for that task to push performance and reduce cost. I think there's plenty of room for open-weight models, optimization infrastructure (e.g. RL), vertical-specific workflows, and domain-specific models (e.g. us for document parsing) to thrive in this exponentially growing AI economy 💬 5 🔄 2 ❤️ 11 👀 820 📊 7 ⚡