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Explain the concepts of pretraining and fine-tuning in LLMs.
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Answer Posted / Pramod Kumar Gautam
Pretraining is the initial stage of training a Language Model (LM) on a large corpus of text. The goal is to learn general language patterns and structures. Fine-tuning is the process of further training the LM on a specific task or dataset. This allows the model to adapt to the nuances of the specific task, improving its performance.
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