CiMRAG: Cim-Aware Domain-Adaptive and Noise-Resilient Retrieval-Augmented Generation for Edge-Based LLMs | ScienceToStartup | ScienceToStartup

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References (24)

[1]

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

2024Fali Wang, Zhiwei Zhang et al.

[2]

A Review on Edge Large Language Models: Design, Execution, and Applications

2024Yue Zheng, Yuhao Chen et al.

[3]

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"TONEL enhances noise resilience and domain adaptability for edge-based, retrieval-augmented language models."

Edge AI•Score: 6•View PDF ↗

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CiMRAG: Cim-Aware Domain-Adaptive and Noise-Resilient Retrieval-Augmented Generation for Edge-Based LLMs

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Founder's Pitch

"TONEL enhances noise resilience and domain adaptability for edge-based, retrieval-augmented language models."

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CiMRAG: Cim-Aware Domain-Adaptive and Noise-Resilient Retrieval-Augmented Generation for Edge-Based LLMs

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References (24)

Founder's Pitch

"TONEL enhances noise resilience and domain adaptability for edge-based, retrieval-augmented language models."

Commercial Viability Breakdown

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