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as more companies decide to "add AI chat to our application", the same problems show up again and again. https://t.co/wceqzeIVKg
第一,contextual data,上下文数据,AI对于语境的理解;第二,personal data,个性化数据,AI对于使用者的理解;第三,collaborative data,合作化数据,AI应用应处在工作流和交互中,而不是作为工具独立存在。
线性资本王淮的逆时代选择丨入局
🤖 Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
- Why CrewAI
- Getting Started
- Key Features
- Examples
- Local Open Source Models
- CrewAI x AutoGen x ChatDev
- Contribution
- 💬 CrewAI Discord Community
- Hire Consulting
- Licen
joaomdmoura • GitHub - joaomdmoura/crewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
原来线性强调的是TPF,technology problem fit,但在AI应用这件事上,技术门槛并不高,因为核心技术是由大模型提供的。但应用层对创始人想法的要求是更高的,对快速动作、快速组队的要求也更高。经过了几次决策流程我们发现了原来做法的问题,所以决定,只要找到right problem、right people
线性资本王淮的逆时代选择丨入局
