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In the world of AI, conversations often revolve around models but conclude with data. As the Generative AI landscape evolves, data preparation has become a critical phase in crafting high-performing Large Language Models (LLMs). The success of LLMs hinges on the quality and quantity of the text and code corpora used during their training. The data preparation phase is essential for cleaning, filtering, and transforming datasets into a tokenized form, suitable for either pre-training or fine-tuning LLMs.
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Research Scientist, IBM Almaden Research Center
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