+
+At the workflow level, `Learnware` package consists of `Submitting Stage` and `Deploying Stage`.
+At the module level, `Learnware` package is a platform that consists of above components. The components are designed as loose-coupled modules and each component could be used stand-alone.
+
+
+## Learnware Paradigm
+
Machine learning, especially the prevailing big model paradigm, has achieved great success in natural language processing and computer vision applications. However, it still faces challenges such as the requirement of a large amount of labeled training data, difficulty in adapting to changing environments, and catastrophic forgetting when refining trained models incrementally. These big models, while useful in their targeted tasks, often fail to address the above issues and struggle to generalize beyond their specific purposes.
diff --git a/docs/_static/img/learnware_framework.svg b/docs/_static/img/learnware_framework.svg
new file mode 100644
index 0000000..92e0d37
--- /dev/null
+++ b/docs/_static/img/learnware_framework.svg
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/docs/start/intro.rst b/docs/start/intro.rst
index fa153d2..6c8279a 100644
--- a/docs/start/intro.rst
+++ b/docs/start/intro.rst
@@ -76,4 +76,8 @@ Procedure of Learnware Paradigm
Learnware Package Design
==========================
-TBD by xiaodong.
+.. image:: ../_static/img/learnware_framework.svg
+ :align: center
+
+At the workflow level, ``Learnware`` package consists of ``Submitting Stage`` and ``Deploying Stage``.
+At the module level, ``Learnware`` package is a platform that consists of above components. The components are designed as loose-coupled modules and each component could be used stand-alone.