docs: use public urls in main readme, adjust recommended software for…

… example 1

README.md

@@ -12,7 +12,7 @@ A collection of MLOps tools for AI/ML/DS research and development.
   - Support for nested tags/params/metrics and JSON-encoded tags/params for non-scalar types.
   - Not dependent on env vars, global vars or a single global active run.
 
-Check the tutorials in the [examples folder](examples)
+Check the [tutorials](https://github.com/lariel-fernandes/mlopus/tree/main/examples)
 for a friendly walkthrough of (almost) everything you can do with MLOpus.
 
 A minimal API reference is also available [here](https://lariel-fernandes.github.io/mlopus/docs/api/stable/latest).

examples/1_introduction/README.md

@@ -5,15 +5,15 @@ The notebooks in this example serve as a walkthrough for the basic features of M
 For an overview of how those features work, have a look at the [architecture guide](../../docs/architecture.md).
 
 ### Recommended Software
-1. [PyEnv](https://github.com/pyenv/pyenv#installation)
-2. [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer)
-3. [Rclone CLI](https://rclone.org/install/#script-installation) (required for artifact transfer from/to cloud storage)
+1. [UV](https://docs.astral.sh/uv/getting-started/installation/#standalone-installer)
+2. [Rclone CLI](https://rclone.org/install/#script-installation) (required for artifact transfer from/to cloud storage)
 
 ### Python environment setup
 
-Run this command from the **root** of this repository:
+Run the following command from the **root** of this repository.
+This will set up the virtualenv using UV and install the project code and dependencies.
 ```bash
-make install
+make install-project
 ```
 
 ### MLflow Sandbox