Intellectual Property Rights

Instruction tuning involves customizing machine learning models by training them on datasets containing specific instructions and corresponding outputs. This process enhances the model's ability to understand and accurately follow human commands, significantly improving its performance on zero-shot and few-shot learning tasks. Consequently, the model becomes more adaptable, reliable, and effective across a wider range of diverse, real-world applications.