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LLM Fundamentals
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What is fi...
What is fine-tuning in the context of large language models?
Continuing to train a pre-trained model on a smaller, task-specific dataset to adapt its behaviour
Adjusting the model's sampling parameters like temperature and top-p at inference time
Compressing the model to reduce its memory footprint
Adding external tools or APIs to a model so it can access real-time data
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