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.
Greek researchers have built a fully open-source retrieval-augmented chatbot that answers journalists' questions using 73,000 archived Greek news articles, complete ...
Researchers have built a modular AI pipeline that indexes hours of video and retrieves specific people from text, image, or ...
A human-AI collaborative workflow developed at Seoul National University Hospital improved SNOMED CT mapping accuracy for bilingual clinical text while ...
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© 2025 Scienmag - Science Magazine