AI & GenAI Engineering
Fine-Tuning and Adapter Patterns
Fine-tuning and Adapter patterns are efficient techniques for adapting large language models (LLMs) to specific tasks or datasets with limited computational resources. They offer a practical alternative to full fine-tuning, providing a balance between performance and cost-effectiveness for production AI systems.
Fine-tuningAdapter tuningPre-trained language modelParameter-efficient learningBottleneck adapterTransfer learningLow-rank adaptation (LoRA)Frozen layers
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Fine-Tuning and Adapter Patterns - System Design Diagram
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