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  This model is part of the [GrammarCorrector](https://github.com/akhmat-s/GrammarCorrector) tool.
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- The primary objective of the experiment was to develop a highly effective tool using relatively small models, minimal datasets, and constrained computational resources.
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- To accomplish this goal, we implemented two key strategies:
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- - [Perplexity-Based Data](https://arxiv.org/abs/2405.20541) Pruning With Small Reference Models.
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- - A simple sampling and voting method for [multiple LLM agents](https://arxiv.org/abs/2402.05120).
 
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  This model is part of the [GrammarCorrector](https://github.com/akhmat-s/GrammarCorrector) tool.
 
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+ "[FlanT5 from scratch for the grammar correction tool](https://medium.com/@akhmat-s/flant5-from-scratch-for-the-grammar-correction-tool-deadba9a6778)" article about how this model was trained.