Update README.md

README.md

@@ -50,7 +50,7 @@ Furthermore, StellarX is not limited to the English language if trained properly
 
 Lastly, users should be aware of potential biases and limitations inherent in
 
-the training dataset. The Pile, used to train StellarX, contains texts known to include profanity, offensive content, and documented biases related to gender, religion, and race. Curation of StellarX's outputs and appropriate disclosure to the audience about the artificially generated nature of the text are strongly recommended.
+Special thanks to the group that created the training dataset. The Redpajama dataset, used to train StellarX, thank you togethercumputer.
 
 ## Community and Support
 
@@ -61,6 +61,9 @@ server and engage in discussions in the #questions channel. It is recommended to
 
 StellarX, a base language model developed by the Dampish, offers impressive language capabilities and flexibility. Trained on an extensive dataset and built upon the GPT-NeoX architecture, StellarX excels in various natural language processing tasks. Its carbon-friendly and resource-efficient design makes it accessible for local device deployment. Researchers and enthusiasts can freely explore StellarX for research purposes and personal use, while commercial users should adhere to the licensing terms.
 
+Again i am really grateful for the data made by togethercumputers and their willingness to opensource, they inspired this project and sparked the idea in Stellar-models, i am truly really really grateful to them.
+
+
 
 Discord: https://discord.gg/vasyNnUa
 Reach out to me personally on Discord via the username: Dampish#3607