Fine-Tuning
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Instruction Tuning
Fine-tuning language models on diverse (instruction, response) pairs to improve generalization and follow natural language instructions.
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Fine-Tuning
Adapting a pre-trained model to a downstream task by training on task-specific data; standard approach in modern NLP.