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docs: cleanup readme (#24905)
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baskaryan committed Jul 31, 2024
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[![PyPI - License](https://img.shields.io/pypi/l/langchain-core?style=flat-square)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain-core?style=flat-square)](https://pypistats.org/packages/langchain-core)
[![GitHub star chart](https://img.shields.io/github/stars/langchain-ai/langchain?style=flat-square)](https://star-history.com/#langchain-ai/langchain)
[![Dependency Status](https://img.shields.io/librariesio/github/langchain-ai/langchain?style=flat-square)](https://libraries.io/github/langchain-ai/langchain)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langchain?style=flat-square)](https://github.com/langchain-ai/langchain/issues)
[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode&style=flat-square)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langchain-ai/langchain)
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langchain-ai/langchain)
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@shirly59
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你好

知名大厂云智能,大模型应用/高级/解决方案架构师

工作职责
面向互联网和企业客户,在营销、游戏、社交、阅读、个人助手和教育等场景中,以大模型为基础,通过使用langchain、RAG、Agent等相关技术架构结合公共云产品设计可落地的大模型应用解决方案,解决客户实际场景问题;

任职要求
在大模型LLM相关技术方向有实战经验者优先,比如大模型落地业务场景识别、数据清洗/构造,LLM训练和调优,搜索增强RAG,LLM Agents等一个或多个方向有实际经验;

BASE北京朝阳区

有朋友有兴趣了解?

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