Update README.md

README.md

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 ## Intro
 
-Dao-9B is the smaller, open-source version of the translation model powering the [Omni Translator](https://app.readomni.com), a state-of-the-art literary translation tool. While less capable than the full model, Dao-9B is still a powerful translation model that can be run locally and performs especially well on Chinese webnovels.
+Dao-9B is the smaller, open-source version of the translation model powering the [Omni Translator](https://app.readomni.com), a state-of-the-art literary translation tool. While less capable than the full model, as it's on a less recent methodology and data, Dao-9B is still a powerful translation model that can be run locally and performs especially well on Chinese webnovels.
 
 While no comparison is available for this model, you can find the comparison page (against several other translation tools) for the full model [here](https://readomni.com/compare).
 
 ## Quick Start
 
-To get started quickly, you can explore the starter Colab notebook [here](https://colab.research.google.com/readomni).
+To get started quickly, you can explore the starter Colab notebook [here](https://colab.research.google.com/drive/1RTJ1zFmvTe4CVQyH2y_CWiStzVeARJ0Y?usp=sharing).
 
 We do not provide inference service for this model, you can instead try out the more powerful full model on the [Omni Translator](https://app.readomni.com).
 
@@ -32,7 +32,7 @@ To fully utilize the capability of this model in translation, it is recommended
 3. **Term Extraction**: Extract terms from the text to be translated. This is especially useful for translating novels, where the same terms are used repeatedly across the chapters.
 4. **Translation**: Translate the text using the model. Provide the terms extracted in step 3, and the previous chunk of text to the model to improve the translation quality.
 
-We provide a starting code that implements the above steps in the [starter Colab notebook](https://colab.research.google.com/readomni).
+We provide a starting code that demonstrates most of the above steps in the [starter Colab notebook](https://colab.research.google.com/readomni).
 
 ### Extracting Terms