实例探究 > Building a better chatbot with text annotation services

Building a better chatbot with text annotation services

公司规模
11-200
地区
  • America
国家
  • United States
产品
  • Sasha
技术栈
  • Natural Language Processing
  • AI Model Training
实施规模
  • Enterprise-wide Deployment
影响指标
  • Digital Expertise
  • Productivity Improvements
技术
  • 分析与建模 - 机器学习
  • 分析与建模 - 自然语言处理 (NLP)
适用行业
  • Professional Service
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 对话机器人
服务
  • 数据科学服务
  • 系统集成
关于客户
True Lark is an AI communications platform that offers a virtual business assistant named Sasha, designed to handle customer inquiries, book appointments, and make purchases around the clock. The company primarily serves personal service businesses such as dental offices, spas, and exercise studios, which require efficient customer engagement and lead management. Founded by Srivatsan Laxman, True Lark leverages AI to address the unmet potential in the personal service sector, providing automated conversational experiences that enhance customer service and operational efficiency. CloudFactory supports True Lark by annotating large volumes of customer conversations, enabling the company to focus on AI model innovation and rapid productization.
挑战
Chatbots often face limitations in answering diverse questions or managing various tasks, leading to rigid and frustrating user experiences. True Lark aimed to overcome these limitations by focusing on specific industries to provide a full range of necessary context. However, to achieve this, they needed labeled data to build their models, which required extensive time and effort. True Lark's internal team was unable to dedicate the necessary time to data annotation without neglecting other critical aspects of product development. This led them to seek external assistance from CloudFactory for data labeling operations.
解决方案
True Lark partnered with CloudFactory to handle the data annotation tasks required for training their AI models. CloudFactory's team was trained to understand the nuances of language necessary for accurate text tagging. True Lark initially spent time explaining the requirements to CloudFactory, which then took over the process of reviewing and labeling large batches of text message conversations. The annotations included identifying nouns, appointment times, staff members, and service types, as well as determining the nature of client requests. This collaboration allowed True Lark to focus on testing and training their AI models, leading to significant improvements in their virtual assistant, Sasha.
运营影响
  • True Lark's AI team regained 90% of their workday, allowing them to focus on innovation and product development.
  • The partnership with CloudFactory provided a long-term solution for data annotation, ensuring continuous improvement of the AI models.
  • True Lark successfully tested and trained their models, receiving positive feedback from CloudFactory on the improvements made.
  • The collaboration enabled True Lark to deliver more powerful and seamless automated conversational experiences to their customers.
数量效益
  • 90% of the workday was freed up for True Lark's internal team.

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