In recent years, training large language models has faced a crucial challenge: determining the optimal data mixture. Models like GPT-4 can generate diverse content types, ranging from legal texts to conversational responses. However, their performance hinges significantly on the right balance of training data from various sources. The problem of data mixing refers to how […]
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