We present an AI approach for fractional optical orbital angular momentum (OAM) mode recognition under atmospheric turbulence. The method consists of: ├── phase recovery/ │ ├── unet_ra.py # AttResUNet ...
Abstract: Recent research has explored distilling knowledge from large language models (LLMs) to optimize retriever models, particularly within the retrieval-augmented generation (RAG) framework.
Abstract: Spaceborne synthetic aperture radar (SAR) is widely used in ocean wave monitoring due to its high resolution and all-weather observation capability. Rainfall distorts sea surface wave ...
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs A modular Python-based ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
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