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LIMIT: Less is More for Instruction Tuning

Sujitha
Databricks Employee
Databricks Employee

Ready to elevate your language model's performance in question answering? Embrace the power of supervised fine-tuning on a small set of high-quality samples. Discover how a few thousand carefully selected training pairs can enhance your model's capabilities.

Dive into the insights from recent studies like LIMA and explore the potential of style alignment fine-tuning. Join us in unlocking the true potential of your language model.

Learn more about our findings and methodologies in our NeurIPS workshop paper. Let's optimize performance together!

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