据彭博社报道，优步（Uber）正在通过招募零工进入人工智能(AI)标注行业。这一举措表明，优步希望利用其依赖独立承包商的商业模式，来满足快速增长的机器学习和大型语言模型的需求。优步的新部门 “Scaled Solutions” 宣称可以通过其平台将企业与 “细致入微的分析师、测试人员和独立数据运营商” 连接起来。这是优步内部团队的延伸，该团队成员主要位于美国和印度，负责新功能测试以及将餐厅菜单转换为优步外卖（Uber Eats）选择等任务。优步此前已经在自身业务中应用人工智能和机
["Uber Eats 正在开发一款基于人工智能的聊天机器人，将向用户提供推荐并为他们提供更快捷的下单方式。","聊天机器人将询问用户预算、食品偏好，并帮助他们下订单。","Uber Eats 约占该公司收入的三分之一，在试图利用人工智能改善食品配送方面与 DoorDash 和 Instacart 展开竞争。"]
基于Uber Eats的MCP服务器原型，实现LLM应用与外部工具的无缝集成
基于Uber Eats的MCP服务器概念验证项目
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