Update README.md

README.md

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 Multilingual language models have many deployment challenges.
 ![Deployment Challenges](DeploymentChallenges.png)
 
-Can we create multilingual models that maintain performance comparable to their corresponding larger models while reducing size, latency and increase inference speeds with huge batch sizes in production?
+Can we engineer multilingual language models that not only match the prowess of their bulkier counterparts but do so while being more compact, quicker on their feet, and capable of handling massive data batches in real-time production environments. Is this a feat we can achieve?
 ![MemoryVariations through time](MemoryVariations(Latency).png)
 
 # Techniques: