At its core, feather was a tool that allowed model developers to build
shareable user interfaces for their models in under 20 lines of code. Using the
Python SDK, developers specified visual components that users would interact
with. (e.g. a FileUpload component to allow users to upload a file). Our
service then provided 1) a URL that allowed others to access and use the model
visually via a user interface; 2) an API endpoint to allow programmatic
requests to a model. In this paper, we discuss feather's motivations and the
value we intended to offer AI researchers and developers. For example, the SDK
can support multi-step models and can be extended to run automatic evaluation
against held out datasets. We additionally provide comprehensive technical and
implementation details.
N.B. feather is presently a dormant project. We have open sourced our code
for research purposes: this https URL

Feather 是一个工具，允许模型开发者使用少于 20 行代码构建可共享的用户界面；该工具使用 Python SDK 来指定用户与之交互的可视组件，并提供 URL 和 API 端点以可视方式或编程方式访问和使用模型。本文讨论了 Feather 的动机、为 AI 研究人员和开发者提供的价值，并提供了全面的技术和实现细节。