302 -

: A new REST API to upload proprietary models by splitting them into smaller chunks for storage.

This feature was designed to allow users to integrate custom deep learning models directly into OpenSearch . It addresses several core functionalities:

: They are critical for tasks such as anomaly detection in surveillance, medical image analysis, and forgery detection. : A new REST API to upload proprietary

: Combine these basics into complex, semantically meaningful objects or patterns.

: Extract basic concepts like edges, contours, and simple textures. : Combine these basics into complex, semantically meaningful

: While initially prioritizing Hugging Face and NLP models, the roadmap includes broader support for various deep learning frameworks. What are Deep Features?

: APIs to load and unload models into memory on demand, preventing the need for cluster restarts. What are Deep Features

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