Optimizing Attention Patterns for Domain-Specific Large Language Models
Optimizing attention patterns in domain-specific LLMs improves accuracy by focusing on key terms and relationships. LoRA fine-tuning cuts costs by 95% while boosting performance in healthcare, legal, and finance. But over-specialization can break general understanding.
