系统利用AI技术自动生成并发送友好、专业的欢迎语，用于求职者互动的开场，提升求职者体验，并引导其进入下一步的互动。

 

通过Docker容器化技术搭建并配置MySQL数据存储集群，以支持后续的聊天历史持久化功能。包括选择合适的MySQL版本，使用容器编排工具（如Docker Compose或Kubernetes）实现集群部署，并进行基础配置，如用户权限管理、数据库创建和集群监控等。

 

设计并实现聊天记录的持久化存储功能，支持按时间顺序（线性）和分支跳转（非线性）两种方式存储对话内容，确保对话历史能够安全保存并便于查询和回顾。

 

建立并管理一个企业私有知识库，以支持HR智能分身的知识获取和回答功能。知识库将包含公司特定的信息，如公司文化、职位描述、招聘流程、常见问题解答等，并能够定期更新和扩展。这个私有知识库将作为大语言模型进行智能问答的基础数据来源，确保回答的准确性和一致性。

 

利用OpenAI等先进的大语言模型，增强Chatbot的智能问答能力，确保系统能够分析并理解求职者的复杂问题，提供准确且个性化的回复。

 

支持多个大语言模型之间的灵活切换，根据不同的对话内容选择最合适的模型进行回答。

 

对大语言模型进行微调，使其更适应招聘场景，并支持不同模型参数的动态调整，以提升问答的准确性。

 

实现多轮对话管理功能，确保Chatbot能够理解和处理连续的对话，保持上下文的一致性，并在对话中断后能恢复到先前的状态。

 

在与求职者的对话中，系统主动收集关键信息，如姓名、联系方式、工作经验、技能等。通过预设的信息收集范围，Chatbot能够在适当的时机提出相关问题，并将收集到的信息结构化存储在数据库中，以支持后续的招聘决策和流程。

 

系统对已收集的求职者信息进行自动概要和总结，当认为信息收集较为完整时，生成一份简明的求职者信息报告。系统可以自动将该报告通过邮件发送给企业HR，以便HR快速评估求职者的资格，进一步提升招聘效率。

大语言模型（LLM）:

OpenAI GPT系列

模型微调与调优技术

多语言支持与上下文理解

 

容器化与集群管理:

Docker容器技术

Docker Compose

Kubernetes（可选）

 

数据库与持久化技术:

MySQL数据库

数据库集群与备份

持久化存储与索引优化

 

AI与NLP技术:

自然语言处理（NLP）

文本生成与智能问答

多轮对话管理

 

信息收集与处理:

数据结构化存储

信息汇总与报告生成

自动化邮件推送

 

持续集成与持续部署（CI/CD）:

Jenkins、GitLab CI/CD 或其他CI/CD工具

自动化测试与部署流水线

版本控制与回滚策略

 

操作系统与应用环境:

Linux操作系统（如Ubuntu、CentOS）

Shell脚本与自动化管理

系统监控与日志管理

 

云服务与基础设施:

AWS、Azure 或 GCP等云服务平台

云数据库与存储服务

负载均衡与自动扩展

 

Web服务部署与管理:

FastAPI: 用于构建高性能的API服务，支持快速开发与部署。

Nginx: 用于反向代理、负载均衡和静态资源服务，确保Web服务的高可用性和性能优化。

HTTP/HTTPS 配置: 配置安全的Web服务，支持SSL/TLS加密。

 

Database and Data Persistence Technologies

Data Storage Design

Participate in the design and implementation of linear and non-linear persistence of chat history, enhancing your skills in data structure design and persistent storage.

 

Index Optimization and Data Queries

You will have the opportunity to optimize database storage and query efficiency, and learn and apply index optimization techniques to improve system performance.

 

Multi-Round Dialogs and User Information Management

Multi-Round Dialogue Management: You will be deeply involved in the development of multi-round dialogue systems, understand the technical points of context preservation and dialogue state restoration, and improve your ability to develop complex dialogue systems.

User Information Collection and Processing: By designing and implementing the functions of job seeker information collection, information structured storage and automatic summary generation, you will master the advanced methods of information management and data processing.

 

Continuous Integration and Continuous Deployment (CI/CD) Practice

Automated Testing and Deployment: Participate in the design and implementation of the CI/CD process, master the use of tools such as Jenkins and GitLab CI/CD, and learn how to build an automated testing and deployment pipeline to ensure efficient project delivery.

Version control and rollback strategy: learn version control, automated deployment and rollback strategy to improve the stability and maintainability of the project.

 

Cloud Services and Infrastructure Management

Cloud Platform Practice: If the project involves a cloud platform (e.g. AWS, Azure or GCP), you will have the opportunity to learn and apply relevant technologies of cloud services, cloud database and storage services, and master the skills of application deployment and management in a cloud environment.

Load balancing and auto-scaling: Participate in the load balancing and auto-scaling configuration of the system to enhance your ability in cloud service architecture design and management.

 

Web Service Deployment and Optimization

High-performance API service building: By using FastAPI to build high-performance API services, you will master the best practices of rapid development and deployment of web services.

Nginx Reverse Proxy and Optimization: Learn and apply Nginx to configure and optimize reverse proxy, load balancing, and static resource services to ensure high availability and security of web services.

 

Enterprise-level knowledge base construction and management

Private Knowledge Base Design: Participate in the construction and management of enterprise private knowledge base, and master the methods of knowledge base design, information updating and expansion to ensure that the HR intelligent doppelganger can accurately and efficiently answer the questions of job seekers.

 

Enhancement of cross-discipline comprehensive ability

Project management and teamwork: Enhance project management, teamwork and interdisciplinary communication skills in collaborative work in multiple technical fields.

Business Scenario Understanding and Application: Through in-depth understanding of enterprise HR scenarios, learn how to combine technology with business needs and provide innovative technology solutions.

 

Career Development and Impact

Enhance career competitiveness: By participating in this cutting-edge program, you will significantly enhance your career competitiveness in AI, Big Data, Cloud Computing and Containerization technologies.

Demonstrate project results: After successfully delivering a project, you will have a high-quality project experience across multiple technology domains that you can demonstrate in your career development.