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Instead of looking at raw pixels, a model uses these features to understand semantic meaning (e.g., identifying a face or a specific object).

These are frequently used in tasks like Fine-grained Recognition or Visual Question Answering (VQA) . 2. Retrieval-Augmented Reasoning (RAR) bw_rnld_SHEB.rar

The "RAR" extension in your query might also relate to , a framework that goes beyond standard text generation. Instead of looking at raw pixels, a model

It helps reduce "hallucinations" in AI by grounding answers in a logical rationale derived from the deep features of the source data. 3. Forensic & Technical Characteristics Instead of looking at raw pixels