@@ -596,7 +596,7 @@ Keywords: Data-Centric AI, Data Quality, Noisy Labels, Outlier Detection, Active
|
||||
|
||||
## [BentoML](https://github.com/bentoml/BentoML)
|
||||
|
||||
[BentoML](https://github.com/bentoml) is the unified framework for for building, shipping, and scaling production-ready AI applications incorporating traditional ML, pre-trained AI models, Generative and Large Language Models.
|
||||
[BentoML](https://github.com/bentoml) is the unified framework for building, shipping, and scaling production-ready AI applications incorporating traditional ML, pre-trained AI models, Generative and Large Language Models.
|
||||
All Hugging Face models and pipelines can be seamlessly integrated into BentoML applications, enabling the running of models on the most suitable hardware and independent scaling based on usage.
|
||||
|
||||
Keywords: BentoML, Framework, Deployment, AI Applications
|
||||
|
||||
Reference in New Issue
Block a user