chore: add BentoML citation (bentoml#4019)

Author: aarnphm

CITATION.cff

@@ -0,0 +1,47 @@
+cff-version: 1.2.0
+title: 'BentoML: The framework for building reliable, scalable and cost-efficient AI application'
+message: >-
+  If you use this software, please cite it using these
+  metadata.
+type: software
+authors:
+  - given-names: Chaoyu
+    family-names: Yang
+    email: [email protected]
+  - given-names: Sean
+    family-names: Sheng
+    email: [email protected]
+  - given-names: Aaron
+    family-names: Pham
+    email: [email protected]
+    orcid: 'https://orcid.org/0009-0008-3180-5115'
+  - given-names: Shenyang
+    family-names: ' Zhao'
+    email: [email protected]
+  - given-names: Sauyon
+    family-names: Lee
+    email: [email protected]
+  - given-names: Bo
+    family-names: Jiang
+    email: [email protected]
+  - given-names: Fog
+    family-names: Dong
+    email: [email protected]
+  - given-names: Xipeng
+    family-names: Guan
+    email: [email protected]
+  - given-names: Frost
+    family-names: Ming
+    email: [email protected]
+repository-code: 'https://github.com/bentoml/bentoml'
+url: 'https://bentoml.com/'
+keywords:
+  - MLOps
+  - LLMOps
+  - LLM
+  - Infrastructure
+  - BentoML
+  - LLM Serving
+  - Model Serving
+  - Serverless Deployment
+license: Apache-2.0

README.md

@@ -11,56 +11,84 @@ packaging, and production deployment.</p>
   <i><a href="https://l.bentoml.com/join-slack">👉 Join our Slack community!</a></i>
 </div>
 
-
 # Highlights
 
-
 ### 🍱 Bento is the container for AI apps
 
-* Open standard and SDK for AI apps, pack your code, inference pipelines, model files, dependencies, and runtime configurations in a [Bento](https://docs.bentoml.com/en/latest/concepts/bento.html).
-* Auto-generate API servers, supporting REST API, gRPC, and long-running inference jobs.
-* Auto-generate Docker container images.
+- Open standard and SDK for AI apps, pack your code, inference pipelines, model
+  files, dependencies, and runtime configurations in a
+  [Bento](https://docs.bentoml.com/en/latest/concepts/bento.html).
+- Auto-generate API servers, supporting REST API, gRPC, and long-running
+  inference jobs.
+- Auto-generate Docker container images.
 
 ### 🏄 Freedom to build with any AI models
 
-* Import from any model hub or bring your own models built with frameworks like PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost and [many more](https://docs.bentoml.com/en/latest/frameworks/index.html).
-* Native support for [LLM inference](https://github.com/bentoml/openllm/#bentoml), [generative AI](https://github.com/bentoml/stable-diffusion-bentoml), [embedding creation](https://github.com/bentoml/CLIP-API-service), and [multi-modal AI apps](https://github.com/bentoml/Distributed-Visual-ChatGPT).
-* Run and debug your BentoML apps locally on Mac, Windows, or Linux.
+- Import from any model hub or bring your own models built with frameworks like
+  PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost and
+  [many more](https://docs.bentoml.com/en/latest/frameworks/index.html).
+- Native support for
+  [LLM inference](https://github.com/bentoml/openllm/#bentoml),
+  [generative AI](https://github.com/bentoml/stable-diffusion-bentoml),
+  [embedding creation](https://github.com/bentoml/CLIP-API-service), and
+  [multi-modal AI apps](https://github.com/bentoml/Distributed-Visual-ChatGPT).
+- Run and debug your BentoML apps locally on Mac, Windows, or Linux.
 
 ### 🍭 Simplify modern AI application architecture
 
-* Python-first! Effortlessly scale complex AI workloads.
-* Enable GPU inference [without the headache](https://docs.bentoml.com/en/latest/guides/gpu.html).
-* [Compose multiple models](https://docs.bentoml.com/en/latest/guides/graph.html) to run concurrently or sequentially, over [multiple GPUs](https://docs.bentoml.com/en/latest/guides/scheduling.html) or [on a Kubernetes Cluster](https://github.com/bentoml/yatai).
-* Natively integrates with [MLFlow](https://docs.bentoml.com/en/latest/integrations/mlflow.html), [LangChain](https://github.com/ssheng/BentoChain), [Kubeflow](https://www.kubeflow.org/docs/external-add-ons/serving/bentoml/), [Triton](https://docs.bentoml.com/en/latest/integrations/triton.html), [Spark](https://docs.bentoml.com/en/latest/integrations/spark.html), [Ray](https://docs.bentoml.com/en/latest/integrations/ray.html), and many more to complete your production AI stack.
-
+- Python-first! Effortlessly scale complex AI workloads.
+- Enable GPU inference
+  [without the headache](https://docs.bentoml.com/en/latest/guides/gpu.html).
+- [Compose multiple models](https://docs.bentoml.com/en/latest/guides/graph.html)
+  to run concurrently or sequentially, over
+  [multiple GPUs](https://docs.bentoml.com/en/latest/guides/scheduling.html) or
+  [on a Kubernetes Cluster](https://github.com/bentoml/yatai).
+- Natively integrates with
+  [MLFlow](https://docs.bentoml.com/en/latest/integrations/mlflow.html),
+  [LangChain](https://github.com/ssheng/BentoChain),
+  [Kubeflow](https://www.kubeflow.org/docs/external-add-ons/serving/bentoml/),
+  [Triton](https://docs.bentoml.com/en/latest/integrations/triton.html),
+  [Spark](https://docs.bentoml.com/en/latest/integrations/spark.html),
+  [Ray](https://docs.bentoml.com/en/latest/integrations/ray.html), and many more
+  to complete your production AI stack.
 
 ### 🚀 Deploy Anywhere
 
-* One-click deployment to [☁️ BentoCloud](https://bentoml.com/cloud), the Serverless platform made for hosting and operating AI apps.
-* Scalable BentoML deployment with [🦄️ Yatai](https://github.com/bentoml/yatai) on Kubernetes.
-* Deploy auto-generated container images anywhere docker runs.
-
+- One-click deployment to [☁️ BentoCloud](https://bentoml.com/cloud), the
+  Serverless platform made for hosting and operating AI apps.
+- Scalable BentoML deployment with [🦄️ Yatai](https://github.com/bentoml/yatai)
+  on Kubernetes.
+- Deploy auto-generated container images anywhere docker runs.
 
 # Documentation
 
-* Installation: `pip install bentoml`
-* Full Documentation: [docs.bentoml.com](https://docs.bentoml.com/en/latest/)
-* Tutorial: [Intro to BentoML](https://docs.bentoml.com/en/latest/tutorial.html)
+- Installation: `pip install bentoml`
+- Full Documentation: [docs.bentoml.com](https://docs.bentoml.com/en/latest/)
+- Tutorial: [Intro to BentoML](https://docs.bentoml.com/en/latest/tutorial.html)
 
 ### 🛠️ What you can build with BentoML
 
-* [OpenLLM](https://github.com/bentoml/OpenLLM) - An open platform for operating large language models (LLMs) in production.
-* [StableDiffusion](https://github.com/bentoml/stable-diffusion-bentoml) - Create your own text-to-image service with any diffusion models.
-* [CLIP-API-service](https://github.com/bentoml/CLIP-API-service) - Embed images and sentences, object recognition, visual reasoning, image classification, and reverse image search.
-* [Transformer NLP Service](https://github.com/bentoml/transformers-nlp-service) - Online inference API for Transformer NLP models.
-* [Distributed TaskMatrix(Visual ChatGPT)](https://github.com/bentoml/Distributed-Visual-ChatGPT) - Scalable deployment for TaskMatrix from Microsoft.
-* [Fraud Detection](https://github.com/bentoml/Fraud-Detection-Model-Serving) - Online model serving with custom XGBoost model.
-* [OCR as a Service](https://github.com/bentoml/OCR-as-a-Service) - Turn any OCR models into online inference API endpoints.
-* [Replace Anything](https://github.com/yuqwu/Replace-Anything) - Combining the power of Segment Anything and Stable Diffusion.
-* [DeepFloyd IF Multi-GPU serving](https://github.com/bentoml/IF-multi-GPUs-demo) - Serve IF models easily across multiple GPUs
-* Check out more examples [here](https://github.com/bentoml/BentoML/tree/main/examples).
-
+- [OpenLLM](https://github.com/bentoml/OpenLLM) - An open platform for operating
+  large language models (LLMs) in production.
+- [StableDiffusion](https://github.com/bentoml/stable-diffusion-bentoml) -
+  Create your own text-to-image service with any diffusion models.
+- [CLIP-API-service](https://github.com/bentoml/CLIP-API-service) - Embed images
+  and sentences, object recognition, visual reasoning, image classification, and
+  reverse image search.
+- [Transformer NLP Service](https://github.com/bentoml/transformers-nlp-service) -
+  Online inference API for Transformer NLP models.
+- [Distributed TaskMatrix(Visual ChatGPT)](https://github.com/bentoml/Distributed-Visual-ChatGPT) -
+  Scalable deployment for TaskMatrix from Microsoft.
+- [Fraud Detection](https://github.com/bentoml/Fraud-Detection-Model-Serving) -
+  Online model serving with custom XGBoost model.
+- [OCR as a Service](https://github.com/bentoml/OCR-as-a-Service) - Turn any OCR
+  models into online inference API endpoints.
+- [Replace Anything](https://github.com/yuqwu/Replace-Anything) - Combining the
+  power of Segment Anything and Stable Diffusion.
+- [DeepFloyd IF Multi-GPU serving](https://github.com/bentoml/IF-multi-GPUs-demo) -
+  Serve IF models easily across multiple GPUs
+- Check out more examples
+  [here](https://github.com/bentoml/BentoML/tree/main/examples).
 
 # Getting Started
 
@@ -119,7 +147,8 @@ $ curl -X POST -H "Content-Type: text/plain" --data "BentoML is awesome" http://
 {"label":"POSITIVE","score":0.9129443168640137}%
 ```
 
-Define how a [Bento](https://docs.bentoml.com/en/latest/concepts/bento.html) can be built for deployment, with `bentofile.yaml`:
+Define how a [Bento](https://docs.bentoml.com/en/latest/concepts/bento.html) can
+be built for deployment, with `bentofile.yaml`:
 
 ```yaml
 service: 'service.py:svc'
@@ -151,27 +180,37 @@ Successfully built Bento container for "text-classification-svc" with tag(s) "te
 $ docker run -p 3000:3000 text-classification-svc:mc322vaubkuapuqj
 ```
 
-For a more detailed user guide, check out the [BentoML Tutorial](https://docs.bentoml.com/en/latest/tutorial.html).
+For a more detailed user guide, check out the
+[BentoML Tutorial](https://docs.bentoml.com/en/latest/tutorial.html).
 
 ---
 
 ## Community
 
-BentoML supports billions of model runs per day and is used by thousands of organizations around the globe.
+BentoML supports billions of model runs per day and is used by thousands of
+organizations around the globe.
 
-Join our [Community Slack 💬](https://l.bentoml.com/join-slack), where thousands of AI application developers contribute to the project and help each other.
+Join our [Community Slack 💬](https://l.bentoml.com/join-slack), where thousands
+of AI application developers contribute to the project and help each other.
 
-To report a bug or suggest a feature request, use [GitHub Issues](https://github.com/bentoml/BentoML/issues/new/choose).
+To report a bug or suggest a feature request, use
+[GitHub Issues](https://github.com/bentoml/BentoML/issues/new/choose).
 
 ## Contributing
 
 There are many ways to contribute to the project:
 
-* Report bugs and "Thumbs up" on issues that are relevant to you.
-* Investigate issues and review other developers' pull requests.
-* Contribute code or documentation to the project by submitting a GitHub pull request.
-* Check out the [Contributing Guide](https://github.com/bentoml/BentoML/blob/main/CONTRIBUTING.md) and [Development Guide](https://github.com/bentoml/BentoML/blob/main/DEVELOPMENT.md) to learn more
-* Share your feedback and discuss roadmap plans in the `#bentoml-contributors` channel [here](https://l.bentoml.com/join-slack).
+- Report bugs and "Thumbs up" on issues that are relevant to you.
+- Investigate issues and review other developers' pull requests.
+- Contribute code or documentation to the project by submitting a GitHub pull
+  request.
+- Check out the
+  [Contributing Guide](https://github.com/bentoml/BentoML/blob/main/CONTRIBUTING.md)
+  and
+  [Development Guide](https://github.com/bentoml/BentoML/blob/main/DEVELOPMENT.md)
+  to learn more
+- Share your feedback and discuss roadmap plans in the `#bentoml-contributors`
+  channel [here](https://l.bentoml.com/join-slack).
 
 Thanks to all of our amazing contributors!
 
@@ -183,11 +222,12 @@ Thanks to all of our amazing contributors!
 
 ### Usage Reporting
 
-BentoML collects usage data that helps our team to improve the product.
-Only BentoML's internal API calls are being reported. We strip out as much potentially
-sensitive information as possible, and we will never collect user code, model data, model names, or stack traces.
-Here's the [code](./src/bentoml/_internal/utils/analytics/usage_stats.py) for usage tracking.
-You can opt-out of usage tracking by the `--do-not-track` CLI option:
+BentoML collects usage data that helps our team to improve the product. Only
+BentoML's internal API calls are being reported. We strip out as much
+potentially sensitive information as possible, and we will never collect user
+code, model data, model names, or stack traces. Here's the
+[code](./src/bentoml/_internal/utils/analytics/usage_stats.py) for usage
+tracking. You can opt-out of usage tracking by the `--do-not-track` CLI option:
 
 ```bash
 bentoml [command] --do-not-track
@@ -206,3 +246,17 @@ export BENTOML_DO_NOT_TRACK=True
 [Apache License 2.0](https://github.com/bentoml/BentoML/blob/main/LICENSE)
 
 [![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fbentoml%2FBentoML.svg?type=small)](https://app.fossa.com/projects/git%2Bgithub.com%2Fbentoml%2FBentoML?ref=badge_small)
+
+### Citation
+
+If you use BentoML in your research, please cite using the following
+[citation](./CITATION.cff:
+
+```bibtex
+@software{Yang_BentoML_The_framework,
+author = {Yang, Chaoyu and Sheng, Sean and Pham, Aaron and  Zhao, Shenyang and Lee, Sauyon and Jiang, Bo and Dong, Fog and Guan, Xipeng and Ming, Frost},
+license = {Apache-2.0},
+title = {{BentoML: The framework for building reliable, scalable and cost-efficient AI application}},
+url = {https://github.com/bentoml/bentoml}
+}
+```