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Try now ↗ ENTERPRISE Research COMPANY Get API Blog / Case Study: Innovating Domain Adaptation through Continual Pre-Training and Model Merging Case Study: Innovating Domain Adaptation through Continual Pre-Training and Model Merging Shamane Siri , Malikeh Ehghaghi , Charles Goddard , Mark McQuade , • March 19, 2024 We show how Arcee uses the most innovative Continual Pre-Training and Model Merging techniques to deliver high-quality domain-specific language models at a fraction of the cost of our competitors–using Medical and Patent data. In the realm of specialized and secure language models, Arcee stands out with its focus on tailoring solutions that operate within the client's own cloud, leveraging their proprietary data. A cornerstone of our approach is domain adaptation, a critical yet resource-intensive process which maintains a balance between the general language capabilities and the specialized domain expertise of language models. 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