Update README.md

README.md

@@ -33,15 +33,3 @@ After comprehensive testing against various models such as corrius/cross-encoder
 #### Advantages
 - **Improved Accuracy**: Leads to more precise responses from the chatbot, significantly enhancing user experience.
 - **Market Relevance**: Offers a competitive edge in German-speaking markets by effectively managing complex queries.
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-#### Implementation Insights
-The implementation of this model into our chatbot system is planned to span approximately three days, ensuring minimal disruption and swift enhancement of service capabilities.
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-#### Costs and Considerations
-While the model requires higher computational resources, leading to increased operational costs, the benefits of improved accuracy and user satisfaction justify the investment. Continuous monitoring and potential fine-tuning will be part of ongoing maintenance efforts to adapt to evolving user queries and needs.
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-Full testing scripts and detailed results are available for review to provide transparency and support for our decision-making process.
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-### Conclusion
-The cross-encoder/msmarco-MiniLM-L12-en-de-v1 has been confirmed as a leading choice for reranking German texts, aligning with our commitment to delivering cutting-edge technology solutions in multilingual contexts.
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