revise readme

Author: Chenglong-MS

README.md

@@ -26,11 +26,10 @@ Transform data and create rich visualizations iteratively with AI 🪄. Try Data
   - Explore large data by:
     1. Upload large data file to the local database (powered by [DuckDB](https://github.com/duckdb/duckdb)).
     2. Use drag-and-drop to specify charts, and Data Formulator dynamically fetches data from the database to create visualizations (with ⚡️⚡️⚡️ speeds).
-    3. Ask AI agents a new exploration question, and they generate SQL queries to transform the data to create rich visualizations!
-    4. Anchor the result, follow up, create a new branch, and join tables to dive deeper. 
+    3. Work with AI agents: they generate SQL queries to transform the data to create rich visualizations!
+    4. Anchor the result / follow up / create a new branch / join tables; let's dive deeper. 
   - Checkout the demos at [[https://github.com/microsoft/data-formulator/releases/tag/0.2]](https://github.com/microsoft/data-formulator/releases/tag/0.2)
   - Improved overall system performance, and enjoy the updated derive concept functionality.
-  - `pip install --upgrade data-formulator` now!
 
 - [03-20-2025] Data Formulator 0.1.7: Anchoring ⚓︎
   - Anchor an intermediate dataset, so that followup data analysis are built on top of the anchored data, not the original one.