• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
• fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.

Training and fine-tuning data prep is usually private glue code. An open, scriptable ETL layer that handles Spark for you gives a starting pipeline for collection, filtering and deduplication.

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