Update README.md

Key Features:
Personalized Customer Interactions: Uses customer data and past interactions to personalize conversations, making recommendations and solutions more relevant and effective. This personalized approach not only improves the customer experience but also fosters loyalty and trust.

Integration with Developer and Customer Service Tools: Fully integrates with a wide range of developer and customer service tools, including CRMs, helpdesk software, and e-commerce platforms. This allows for a more cohesive workflow and enables the bot to access and leverage customer data and history effectively.

Scalable and Secure Infrastructure: Built on a secure, scalable infrastructure, the bot can handle high volumes of simultaneous interactions without compromising on performance or data security. It adheres to strict data protection regulations and ethical AI guidelines, ensuring customer data is handled responsibly.

Real-Time Analytics and Insights: Provides real-time analytics and insights into customer interactions, helping businesses identify trends, monitor bot performance, and uncover areas for improvement. This data-driven approach enables continuous refinement and optimization of both the bot and overall customer service strategies.

User Collaboration and Feedback Loop: Features a user-friendly interface for real-time interaction and collaboration. It incorporates a feedback loop mechanism, allowing it to learn from user interactions, adapt its behavior, and continually enhance its effectiveness and efficiency.

security features making it to were the model will never access or output critical information or data.

README.md

@@ -1,3 +1,14 @@
 ---
-license: cc
----
+license: afl-3.0
+datasets:
+- bitext/Bitext-customer-support-llm-chatbot-training-dataset
+- NebulaByte/E-Commerce_Customer_Support_Conversations
+language:
+- en
+metrics:
+- accuracy
+- recall
+- unitxt/metric
+library_name: adapter-transformers
+pipeline_tag: audio-to-audio
+---