Update README.md

README.md

@@ -28,6 +28,18 @@ Rather than training multiple task-specific encoder models (e.g., NER or extract
 
 The fine-tuned adapter improves Exact Match from 4.63% to 54.76% and F1 from 25.80% to 75.39% on the MedTurkQA validation set.
 
+## Intended Use
+
+This adapter is designed for context-grounded, single-turn medical question answering in Turkish. Given a passage and a question, the model generates a concise answer conditioned on the provided context. 
+
+It expects inputs formatted with the structured Bağlam / Soru / Cevap prompt template described in the Usage section.
+
+The model is intended for research, experimentation, and NLP benchmarking — particularly in the areas of parameter-efficient fine-tuning, Turkish NLP, and domain adaptation of large language models.
+
+It is not intended for clinical decision-making, diagnostic support, or real-world medical deployment. 
+
+Outputs should not be interpreted as medical advice and may contain inaccuracies, especially on topics outside the training distribution.
+
 
 ## Model Details