refactor: update for zeno-hub

CODEOWNERS

@@ -1 +1 @@
-* @cabreraalex @neubig
+* @cabreraalex @neubig @Sparkier

CONTRIBUTING.md

@@ -3,18 +3,9 @@
 If you're reading this, you're probably interested in contributing to
 `zeno-build`. Thank you for your interest!
 
-## Types of Contributions
-
-We welcome:
-
-- **New examples**, which you can create by navigating to the [examples/]
-  directory and adding a new sub-directory implementing a new example
-  (see the examples directory for details).
-- **New reports**, which you can create by modifying the configuration and/or
-  modeling files under [examples/] and sending us the a link of the resulting
-  report.
-- **New core functionality**, making `zeno-build` more feature-rich or easier to
-  use.
+We always welcome **new examples**, which you can create by navigating to the
+[examples/] directory and adding a new sub-directory implementing a new example
+(see the examples directory for details).
 
 ## Contribution Guide
 
@@ -27,32 +18,3 @@ If you want to make a contribution you can:
 We'd recommend reaching out to us first so we can help out any way we can,
 but if you're confident in your contribution, you can go ahead and send a PR
 directly.
-
-## Developer Installation
-
-If you're a developer, you should install pre-commit hooks before developing.
-
-```bash
-pip install .[dev]
-pre-commit install
-```
-
-These will do things like ensuring code formatting, linting, and type checking.
-
-You'll also want to run tests to make sure your code is working by running the
-following:
-
-```bash
-pytest
-```
-
-## Making a Release
-
-If you are an admin of the repository, you can make a new release of the
-library.
-
-We are using the [hatchling](https://github.com/pypa/hatch) build system, which
-makes it easy to make new library releases. In order to do so, just create a new
-version tag on github (it has to be a valid [semantic
-version](https://semver.org/)) and the CI will automatically build and publish
-the new version to PyPI.

README.md

@@ -1,104 +1,33 @@
 # Zeno Build
 
-[![PyPI version](https://badge.fury.io/py/zeno-build.svg)](https://badge.fury.io/py/zeno-build)
-![Github Actions CI tests](https://github.com/zeno-ml/zeno-build/actions/workflows/ci.yml/badge.svg)
 [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)
 [![Discord](https://img.shields.io/discord/1086004954872950834)](https://discord.gg/km62pDKAkE)
+[![Open Zeno](https://img.shields.io/badge/%20-Open_Zeno-612593.svg?labelColor=white&logo=data:image/svg%2bxml;base64,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)](https://hub.zenoml.com)
 
-**Zeno Build** is a tool for developers who want to quickly build, compare, and
-iterate on applications using large language models.
+**Zeno Build** is a collection of examples using **Zeno** to evaluate generative
+AI models. Use it to get started with common evaluation setups.
 
-![Zeno Build Overview](/docs/images/zeno-build-overview.png)
-
-It provides:
-
-- **Simple examples** of code to build LLM-based apps. The examples are
-  architecture agnostic, we don't care if you are using
-  [OpenAI](https://openai.com/),
-  [LangChain](https://github.com/hwchase17/langchain), or [Hugging
-  Face](https://huggingface.co).
-- **Experiment management** and **hyperparameter optimization** code, so you can
-  quickly kick off experiments using a bunch of different settings and compare
-  the results.
-- **Evaluation** of LLM outputs, so you can check if your outputs are correct,
-  fluent, factual, interesting, or "good" by whatever definition of good you
-  prefer! Use these insights to compare models and iteratively improve your
-  application with model, data, or prompt engineering.
+The examples in this repository are architecture agnostic, we don't care if you
+are using
+[OpenAI](https://openai.com/),
+[LangChain](https://github.com/hwchase17/langchain), or [Hugging
+Face](https://huggingface.co).
 
 Sound interesting? Read on!
 
-## Getting Started
-
-To get started with `zeno-build`, install the package from PyPI:
-
-```bash
-pip install zeno-build
-```
-
-Next, _start building_! Browse to the [docs](docs/) directory to get a
-primer or to the [examples/](examples/) directory, where we
-have a bunch of examples of how you can use `zeno-build` for different tasks,
-such as [chatbots](examples/chatbot/),
-[text summarization](examples/summarization/), or [text
-classification](examples/text_classification/).
-
-Each of the examples include code for running experiments and evaluating the
-results. `zeno-build` will produce a comprehensive report with the
-[Zeno](https://zenoml.com/) AI evaluation platform.
-
-## Interactive Demos/Reports
-
-Using Zeno Build, we have generated reports and online browsing demos of
-state-of-the-art systems for different popular generative AI tasks.
-Check out our pre-made reports below:
+## Examples
 
-- **Chatbots** ([Report](examples/chatbot/report/),
-  [Browser](https://zeno-ml-chatbot-report.hf.space/)):
-  A report comparing different methods
-  for creating chatbots, including API-based models such as ChatGPT and Cohere,
-  with open-source models such as Vicuna, Alpaca, and MPT.
-- **Translation** ([Report](examples/analysis_gpt_mt/report/),
-  [Browser](https://zeno-ml-translation-report.hf.space/)):
-  A report comparing GPT-based methods, Microsoft Translator, and the best system
-  from the Conference on Machine Translation.
+Each of the examples in this repository is specifically designed to be
+self-contained and easy to modify. To get started with
+zeno, we suggest that you find the closest example to what you're trying
+to do, copy the example to the new directory, and start hacking!
 
-## Building Your Own Apps (and Contributing Back)
-
-Each of the examples in the [examples/](examples/) directory is specifically designed
-to be self-contained and easy to modify. To get started building your own apps,
-we suggest that you first click into the directory and read the general README,
-find the closest example to what you're trying to do, copy the example to the
-new directory, and start hacking!
+## Contributing Back
 
 If you build something cool, **we'd love for you to contribute it back**. We
-welcome pull requests of both new examples, new reports for existing examples,
-and new functionality for the core `zeno_build` library. If this is of interest
-to you, please click through to our [contributing doc](contributing.md) doc to
-learn more.
-
-## CITATION
-
-To cite [GPT-MT report](examples/analysis_gpt_mt/README.md), please use the
-following BibTeX/APA entry.
-
-### BibTeX
-
-```bibtex
-@misc{Neubig_Zeno_GPT_Machine_2023,
-  author = {
-      Neubig, Graham and 
-      He, Zhiwei
-  },
-  title = {{Zeno GPT Machine Translation Report}},
-  year = {2023}
-}
-```
-
-### APA
-
-```bibtex
-Neubig, G., & He, Z. (2023). Zeno GPT Machine Translation Report
-```
+welcome pull requests of both new examples and new functionality for the core
+`zeno_build` library. If this is of interest to you, please click through to
+our [contributing doc](contributing.md) doc to learn more.
 
 ## Get in Touch