Update README.md

README.md

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 ### 🎻 Welcome!
 Sasando-1 is a tiny, highly experimental Indonesian text generator built using the Phi-3 architecture. It comes with two variations of microscopic sizes: 7M and 25M parameters. It is trained on a tightly-controlled Indo4B dataset filtered to only have 18000 unique words. The method is inspired by Microsoft's TinyStories paper which demonstrates that a tiny language model can produce fluent text when trained on tightly-controlled dataset.
 
+### 🇮🇩 Context
+Indonesia has +700 languages, and many of them are dying at an alarming rate. Language technologies like generative AI can play a massive role in language preservation. However, Indonesia has several contextual issues:
+
+- Many languages, including those with millions of speakers, have low-volume digital resources
+- Running large models can be costly, while Indonesia is a middle-income country with little funding
+
+Overcoming these challenges require developers to work with what little data and money that they have. Sasando-1 is a prototypical demonstration that thinly-available resources can potentially still be leveraged to develop generative models with cheap compute.
+
 ### ✨ Specs
 - Comes with 7M and 25M parameters
 - Based on Phi-3 architecture