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Trinity Large Thinking: Available on OpenRouter. Try now ↗ ENTERPRISE Research COMPANY Get API Blog / How Do I Prep my Data to Train an LLM? How Do I Prep my Data to Train an LLM? Jacob Solawetz , Malikeh Ehghaghi , Shamane Siri , • July 9, 2024 So you want to train a custom language model, and you do have the requisite large set of text data. But how do you know that the data is *really actually ready* for model training? Our researchers here at Arcee AI tell you what to look out for. We all know the data adage \"Garbage-In, Garbage-Out\" – any results you get from your data can only be as good as the data itself. It's a saying that applies, of course, in the world of artificial intelligence: the quality of any AI model depends on the quality of the data that you've fed into it. Here at Arcee AI, every day we talk to organizations that are eager to build, train and deploy custom LLMs (actually, what we call Small Language Models or SLMs – because our models are so efficient). 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