Update README.md

README.md

@@ -37,7 +37,7 @@ It supports multiple languages (29 in total) and is specialized for tasks involv
 
 - **Better Markdown Generation**: Generates cleaner, more readable Markdown output.
 - **JSON Output**: Can produce JSON-formatted text, enabling structured extraction for further downstream processing.
-- **Longer Context Handling**: Can handle up to 512K tokens, which is beneficial for large HTML documents or combined transformations.
+- **Longer Context Handling**: Can handle up to 512K tokens, which is beneficial for large HTML documents.
 - **Multilingual Support**: Covers 29 languages for broader application across international web data.
 
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@@ -50,10 +50,12 @@ For a more hands-on experience in a hosted environment, see the [Google Colab No
 ## On Google Colab
 
 The easiest way to experience `ReaderLM-v2` is by running our [Colab notebook](https://colab.research.google.com/drive/1FfPjZwkMSocOLsEYH45B3B4NxDryKLGI?usp=sharing),
-The notebook runs on a free T4 GPU tier and uses vLLM and Triton for faster inference. You can feed any website’s HTML directly into the model.
+The notebook demonstrates HTML-to-markdown conversion, JSON extraction, and instruction-following using the HackerNews frontpage as an example.
+The notebook is optimized for Colab's free T4 GPU tier and requires `vllm` and `triton` for acceleration and running.
+Feel free to test it with any website.
+For HTML-to-markdown tasks, simply input the raw HTML without any prefix instructions.
+However, JSON output and instruction-based extraction require specific prompt formatting as shown in the examples.
 
-• For simple HTML-to-Markdown tasks, you only need to provide the raw HTML (no special instructions).
-• For JSON output and instruction-based extraction, use the prompt formatting guidelines in the notebook.
 
 ## Local Usage