Update README.md

README.md

@@ -11,7 +11,7 @@ Multilingual language models are typically large, requiring significant computat
 
 Can we create multilingual models that maintain performance comparable to their larger models while reducing size, latency and inference speeds?
 
-Techniques:
+# Techniques:
 - Pruning
   - SparseGPT | [GitHub](https://github.com/VishnuVardhanSaiLanka/sparsegpt/tree/aya)
   - ShortGPT | [KLDBasedPruning & Perplexity Sensivities](https://github.com/rsk2327/DistAya/tree/main)
@@ -25,7 +25,7 @@ Techniques:
 - KV Cache Compression
 - Fine-Tuning | [GitHub](https://github.com/rsk2327/DistAya/tree/track/fine-tuning)
 
-Dataset:
+# Datasets:
 Initial 7 datasets unified, having 6.62M rows which includes the following:
 - Bangla_Alpaca_Orca : Bangle
 - Urdu_Instruct_News_Article_Generation: Urdu
@@ -35,7 +35,7 @@ Initial 7 datasets unified, having 6.62M rows which includes the following:
 - Six_Millions_Instruction_Dataset_For_Arabic_Llm_Ft: Arabic
 - instructv3: English
 
-Get in touch with the team:
+## Get in touch with the team:
 - Mayank Bhaskar -> [email protected]
 - Ahmad Anis -> [email protected]
 - Drishti Sharma -> [email protected]