Update README.md

README.md

@@ -94,6 +94,10 @@ As shown, AstroLLaMA-3-8B-Base_Summary performs competitively, nearly matching t
 
 Notably, the instruct version of this model shows even more significant improvements, highlighting the effectiveness of the summarization approach in capturing and retaining key astronomical concepts. For detailed performance analysis of the instruct version, please refer to Pan et al. 2024.
 
+While AstroLLaMA-3-8B performs competitively among models in its class, it does not surpass the performance of the base LLaMA-3-8B model. This underscores the challenges in developing specialized models and the need for more diverse and comprehensive training data.
+
+It's worth noting that the AstroLLaMA-3-8B-Plus which we will release in the next model release addresses these limitations by expanding beyond astro-ph data.
+
 ## Ethical Considerations
 
 While this model is designed for scientific use, users should be mindful of potential misuse, such as generating misleading scientific content. Always verify model outputs against peer-reviewed sources for critical applications.