实习生做什么？
实习生在研究所项目中工作，完成预定义的交付成果，如文档、分析、代码、教育材料、研究总结、运营支持或媒体制作。每个实习项目的范围取决于项目和实习生的背景，但每个实习都包括一个具体的贡献，最终产生有益于公众的结果。实习生参与项目会议，从项目领导和导师那里获得指导，并与更广泛的社区分享进展。
此页面由机器翻译成中文。 查看英文原版。
寻求有定义的参与，交付成果、技能提升和社区指导的人们。
实习
结构化贡献到Active Inference Institute项目，学习内在构建。
在本页
实习 指南
实习是一个结构化的贡献路径——参与研究所的实际项目，发展技能，并与活跃推断领域的研究人员和教育者建立关系。
无需专业知识
实习旨在让所有人参与，无论他们是否有积极推断的经验。学习是这个过程的一部分——实习生被期望通过贡献来发展他们的理解，而不是带着完整的知识到来。关键在于愿意参与、清晰地沟通进展和障碍，以及履行承诺。
如何申请
实习路径页面列出当前开放职位并描述如何表达兴趣。大多数实习参与从社区参与开始——参加活动、志愿参与项目，然后正式确定贡献范围。如果你是研究所的新成员，以志愿者身份开始并逐渐过渡到实习是最自然的途径。
指导与支持
实习生与来自研究所社区的导师建立联系——研究人员、教育者或有经验的贡献者，提供指导、审查工作并支持职业发展。导师指导可以是正式或非正式的，但实习生永远不会在没有可以帮助他们了解项目的人联系下工作。
实习结束后
实习通常会导致持续参与作为志愿者、合作伙伴或项目领导。许多实习生后来成为研究所项目的核心贡献者，撰写公共教育材料的作者，或者科学界的成员。在实习期间建立的技能和人际关系是该计划持久的好处。
关键表面
实习一览
定义交付成果
每一次实习都包括具体的贡献——文档、代码、分析或教育材料。
内置学习
无必要专业知识。通过自身工作，积极推断知识将逐渐发展。
导师指导
每个实习生都与来自研究所社区的一名导师配对。
同道之路
实习是向合作和持续项目领导过渡的自然一步。
相关资源
此页的公共链接
外部链接从共享注册表解析，这样面向访问者的目的地保持集中和可检查。
Discord invite
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Primary public community channel for conversation, coordination, and newcomer orientation.
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Public GitHub organization for Institute repositories and open-source work.
projectsgithub-org
Active InferAnts repository
Audience: Developer
Project repository for multiagent Active Inference modeling work.
projectsactive-inferants
Generalized Notation Notation repository
Audience: Developer
Generalized Notation Notation project repository for model communication.
projectsgnn
GEO-INFER repository
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Geospatial modeling repository connected to ecological and bioregional applications.
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Public Fellows pathway for structured Institute participation.
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Mentorship pathway
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Official Knowledge Engineering page.
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Active Blockference
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Official Active Blockference page.
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Official participation page.
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Official internship page.
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Fellowship
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Official fellowship page.
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Public projects shortlink for project directories and activity-linked work.
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Project Measurement shortlink
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Public project measurement shortlink for reporting progress and outputs.
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仓库
相关开源仓库
ActiveBlockference
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Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
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ActiveInferAnts
Audience: Developer
Python models and materials for ant-inspired multiagent Active Inference.
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Audience: Developer
Public ants repository in the ActiveInferenceInstitute GitHub namespace.
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ATLAS
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ATLAS
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Public Biofirm repository in the ActiveInferenceInstitute GitHub namespace.
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Public Bots repository in the ActiveInferenceInstitute GitHub namespace.
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Python codebase for cognitive and Active Inference-oriented modeling work.
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