Accelerator physics presents unique challenges for natural language processing (NLP) due to its specialized terminology and complex concepts. A key component in overcoming these challenges is the development of robust text embedding models that transform textual data into dense vector representations. facilitating efficient information retrieval and semantic understanding. In this work. https://danddcollectiblers.shop/product-category/drink-holder/
Domain-specific text embedding model for accelerator physics
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