Domain Adaptation
Domain adaptation for embeddings: transfer learning to fine-tune retrieval models across domains while preventing catastrophic forgetting.
7 min readConcept
Explore machine learning concepts related to fine-tuning. Clear explanations and practical insights.
Domain adaptation for embeddings: transfer learning to fine-tune retrieval models across domains while preventing catastrophic forgetting.
Master LoRA, bottleneck adapters, and prefix tuning for parameter-efficient fine-tuning of vision-language models like LLaVA with minimal compute and memory.