Update README.md

README.md

@@ -45,7 +45,7 @@ Out[7]: [{'label': 'Positive', 'score': 0.9996090531349182}]
 ### Recommendations
 - **Continuous Monitoring:** Regularly monitor the model's performance on new data to ensure its effectiveness and reliability over time.
 - **Error Analysis:** Conduct thorough error analysis to identify common patterns of misclassifications and areas for improvement.
-- **Fine-Tuning:** Consider fine-tuning the model further based on feedback and insights from users, especially from LDS, to enhance its domain-specific performance.
+- **Fine-Tuning:** Consider fine-tuning the model further based on feedback and insights from users, to enhance its domain-specific performance.
 - **Model Interpretability:** Explore techniques for explaining the model's predictions, such as attention mechanisms or feature importance analysis, to increase trust and understanding of its decisions.