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CAG Mistral 7b
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CAG Mistral 7b
Developed by ruotong-pan
A 7-billion-parameter credibility-aware generation model fine-tuned on Mistral-7B, capable of understanding and utilizing contextual credibility for content generation.
Downloads 37
Release Time : 3/18/2024
Model Overview
This model demonstrates exceptional robustness when handling noisy documents introduced externally in RAG (Retrieval-Augmented Generation), supports customizable credibility criteria, and is suitable for scenarios such as personalized response generation and knowledge conflict resolution.
Model Features
Credibility-Aware Generation
Capable of understanding and utilizing contextual credibility for content generation, demonstrating exceptional robustness when handling noisy documents.
Customizable Credibility Criteria
Supports customizable credibility criteria, making it widely applicable in scenarios such as personalized response generation and knowledge conflict resolution.
Fine-tuned on Mistral-7B
Fine-tuned on the Mistral-7B model, it possesses strong generation capabilities and contextual understanding.
Model Capabilities
Credibility-aware content generation
Noise-resistant document processing
Personalized response generation
Knowledge conflict resolution
Use Cases
Question Answering Systems
Open-domain QA
Generates highly credible answers in open-domain question answering scenarios.
Demonstrates exceptional robustness and can handle noisy documents.
Time-sensitive QA
Generates accurate and credible answers in time-sensitive question answering scenarios.
Effectively resolves knowledge conflicts.
QA with misinformation interference
Generates credible answers despite the presence of misinformation interference.
Exhibits strong anti-interference capabilities.
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