docs: index: Provide more clarity on DFFML

Signed-off-by: John Andersen <[email protected]>

Author: John Andersen

docs/index.rst

@@ -17,17 +17,14 @@ Welcome to DFFML!
     :target: https://github.com/psf/black
     :alt: Code style: black
 
-Data Flow Facilitator for Machine Learning (DFFML) provides APIs for dataset
-generation, storage, and model definition.
+Data Flow Facilitator for Machine Learning (DFFML) makes it easy to generate
+datasets, train and use machine learning models, and integrate machine learning
+into new or existing applications. It provides APIs for dataset generation,
+storage, and model definition.
 
-DFFML abstracts three parts of the machine learning workflow.
-
-- Models handle implementations of machine learning algorithms.
+- :ref:`plugin_models` handle implementations of machine learning algorithms.
   Likely wrapping code from a popular machine learning framework.
 
-  - To get started using existing machine learning models right away, head over
-    to :ref:`plugin_models`.
-
 - Sources handle the storage of datasets, saving and loading them from files,
   databases, remote APIs, etc.