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Llm Embedder Math
The LLM-Embedder model fine-tuned on mathematical datasets, focusing on sentence similarity tasks.
Downloads 19
Release Time : 10/19/2023
Model Overview
This model is a sentence embedding model fine-tuned on mathematical datasets, primarily used for calculating similarity between sentences.
Model Features
Mathematical dataset fine-tuning
The model is specifically fine-tuned on mathematical datasets, making it suitable for similarity calculations involving mathematical texts.
Sentence embedding
Capable of converting sentences into high-quality embedding vectors for similarity comparisons.
Model Capabilities
Sentence similarity calculation
Mathematical text processing
Use Cases
Education
Math problem similarity matching
Used to match similar math problems, aiding in teaching resource management.
Information retrieval
Mathematical literature retrieval
Helps retrieve mathematical literature content similar to the query sentence.
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