Update README.md

README.md

@@ -26,9 +26,27 @@ It achieves the following results on the evaluation set:
 
 This model is part of "Word Of Prompt" library and is intended to detect buying intention in LLM prompt from users.
 
-Label 1 = User has buying intention
+Label 1 = User has buying intention ;
+
 Label 2 = User hasn't buying intention
 
+# Join The Team
+
+You can find our pitch deck here:  [Word Of Prompt - Pitch Deck](https://drive.google.com/file/d/16EdcmIdPV7qq4XihTqDHyvNdUW-N7v4A/view?usp=sharing)
+
+Word of Prompt wants to help LLM and Agent democratization: incertain returns on development of such technologies stop their diffusion.
+
+WoP gives to developers an alternative monetization methodology, meanwhile enhances User Experience: revolutionizing advertising by integrating it seamlessly into AI-driven conversations, enhancing user experience while maintaining the natural flow of dialogue.
+
+Unlike traditional disruptive ads, our integrable library leverages AI to present contextually relevant ads, mirroring the trust and personal touch of word-of-mouth recommendations. 
+This approach ensures that ads are not just seen but are also relevant and timely, significantly increasing engagement and conversion rates. 
+
+In future, we'll develop a managed platform giving marketers a new channel to marketing products and developers a new earning opportunity. 
+
+With Word of Prompt, we’re not just changing how ads are delivered; we’re transforming how they're perceived, making them a valuable addition to every conversation.
+
+If you want to know more or join the team, contact us on LinkedIn: [Piermatteo Grieco](https://www.linkedin.com/in/piermatteo-grieco/)
+
 ## Training procedure
 
 ### Training hyperparameters