Update README.md

README.md

@@ -20,16 +20,11 @@ Maxwell-TCS-v0.2 is an experimental SOTA **t**ask **c**omplexity **s**corer base
 
 Maxwell-TCS can be used in a variety of downstreaming tasks such as prompt difficulty prediction, dataset annotation, dataset augmentation and more.
 
-- **Developed by:** [Shreyan C]([thethinkmachine (Shreyan C)](https://huggingface.co/thethinkmachine))
+- **Developed by:** [Shreyan C](https://huggingface.co/thethinkmachine) | BUD Ecosystem Inc.
 - **Model type:** Bidirectional Encoder Representations from Transformers, based on the ModernBERT-Large architecture.
 - **Language(s) (NLP):** English (en)
 - **License:** Apache License, Version 2.0
 - **Finetuned from model**: ModernBERT-Large
-## Applications
-
-- **Prompt Complexity Scoring:** Maxwell can be used to predict the complexity of a given instruction or prompt.
-- **Dataset Annotation:** Maxwell can be used to annotate the complexity of instructions in a dataset.
-- **Reward Model**: Maxwell can be used as a reward model for reinforcement learning tasks.
 
 ### Recommendations