What techniques are you using to customize your AI systems?
70%+ of respondents are using RAG.
40% mentioned LoRA/QLoRA, indicating widespread preference for parameter-efficient methods.
Most popular core training approach is supervised fine-tuning.
Most popular core training approach is supervised fine-tuning.
Few-shot learning
RAG
Fine-tuning
Zero-Shot Learning
Pretraining
Other
RAG
Fine-tuning
Zero-Shot Learning
Pretraining
Other