Retrieval Beats Fine-Tuning: Teaching AI the Science of 3D Printing
A new study finds retrieval-augmented generation dramatically outperforms fine-tuning when adapting large language models to expert-level additive manufacturing questions.
A new study finds retrieval-augmented generation dramatically outperforms fine-tuning when adapting large language models to expert-level additive manufacturing questions.
Researchers have built React-to-Me, a grounded conversational AI for the Reactome Pathway Knowledgebase whose hybrid retrieval-augmented answers nearly tripled expert-rated ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine