: A new REST API to upload proprietary models by splitting them into smaller chunks for storage.
In the context of machine learning, "302" often refers to in the OpenSearch ML Commons repository, which discusses a major feature for Deep Learning Model Uploading and Inference . OpenSearch Issue #302: Deep Feature Management
: While initially prioritizing Hugging Face and NLP models, the roadmap includes broader support for various deep learning frameworks. What are Deep Features? : A new REST API to upload proprietary
This feature was designed to allow users to integrate custom deep learning models directly into OpenSearch . It addresses several core functionalities:
Broadly, a is a data representation automatically extracted by a Deep Neural Network (DNN). What are Deep Features
: Extract basic concepts like edges, contours, and simple textures.
: Once loaded, these models can be used for real-time inference tasks like text embedding or image classification. : Extract basic concepts like edges, contours, and
: APIs to load and unload models into memory on demand, preventing the need for cluster restarts.