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README.md

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 ## 1. Overview
 
-Here, we present a domain-specific recipe language model (RLM) developed for an emerging scientific tool of robotic boxes, with perovskite solar cell research as a demonstration. For iterative fine-tuning of the RLM, seven artificial intelligence (AI) layers, including learning, generating, RecipeQA, fine-tuning, reasoning, evaluation, and optimisation, have been designed with a language agent. During the loops of seven AI layers, both numerical and semantic recipes are continuously learned and optimised for the RLM.
+The domain-specific recipe language model (RLM) is developed for an emerging scientific tool of robotic boxes, with perovskite solar cell research as a demonstration. For iterative fine-tuning of the RLM, seven artificial intelligence (AI) layers, including learning, generating, RecipeQA, fine-tuning, reasoning, evaluation, and optimisation, have been designed with a language agent. During the loops of seven AI layers, both numerical and semantic recipes are continuously learned and optimised for the RLM.
 
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