Fine-tuning AI models can be a complex and resource-intensive process, but with the right strategies and techniques, you can optimize it effectively to achieve superior results. This comprehensive ...
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MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.
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