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

: Combine these basics into complex, semantically meaningful objects or patterns. : While initially prioritizing Hugging Face and NLP

: Once loaded, these models can be used for real-time inference tasks like text embedding or image classification. : While initially prioritizing Hugging Face and NLP

: APIs to load and unload models into memory on demand, preventing the need for cluster restarts. : While initially prioritizing Hugging Face and NLP

: Extract basic concepts like edges, contours, and simple textures.

: Unlike traditional "handcrafted" features (like color or shape) that require expert design, deep features are learned directly from raw data. Hierarchical Abstraction :