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Dkrr Dpr Nq Retriever
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Dkrr Dpr Nq Retriever
Developed by castorini
FiD is a Q&A system model based on knowledge distillation, improving the efficiency of Q&A systems by distilling the knowledge from the reader model into the retriever.
Downloads 38
Release Time : 3/2/2022
Model Overview
The FiD model optimizes the retrieval and response performance of Q&A systems by employing a fusion-in-decoder architecture that distills knowledge from the reader model into the retriever.
Model Features
Knowledge Distillation
Improves Q&A system efficiency by distilling knowledge from the reader model into the retriever.
Fusion-in-Decoder Architecture
Optimizes retrieval and response performance with a fusion-in-decoder architecture.
Efficient Retrieval
Significantly enhances retrieval speed and accuracy through knowledge distillation technology.
Model Capabilities
Q&A System
Knowledge Distillation
Text Retrieval
Use Cases
Q&A System
Open-domain Q&A
Used for open-domain Q&A tasks, capable of efficiently retrieving and answering user questions.
Performs excellently on multiple Q&A datasets.
Knowledge-intensive Tasks
Suitable for Q&A tasks requiring extensive knowledge support.
Significantly improves performance through knowledge distillation.
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