Merge pull request #213 from cliveseldon/docs1

Small docs update
SeldonIO · Nov 9, 2021 · 4af0787 · 4af0787
2 parents 5f5612f + 54d0a2d
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diff --git a/README.md b/README.md
@@ -8,7 +8,11 @@
 
 [Documentation](https://tempo.readthedocs.io/en/latest/)
 
-An open source framework to enable data scientists to productionise, test and deploy models with simple workflows that abstract the underlying complexity of scalable MLOps platforms.
+An open source Python SDK to allow data scientists to test and deploy machine learning inference pipelines.
+
+ * Create and test inference locally.
+ * Deploy to Seldon for production.
+
 
 ![](https://raw.githubusercontent.com/SeldonIO/tempo/master/docs/assets/tempo-logo.jpg)
 
@@ -26,16 +30,14 @@ Tempo provides a unified interface to multiple MLOps projects that enable data s
  * Test Locally - Deploy to Production
      * Run with local unit tests.
      * Deploy locally to Docker to test with Docker runtimes.
-     * Deploy to production on Kubernetes
+     * Deploy to production on Kubernetes with Seldon
      * Extract declarative Kubernetes yaml to follow GitOps workflows.
  * Supporting Seldon production runtimes
      * Seldon Core open source
      * Seldon Deploy enterprise
  * Create stateful services. Examples:
     * Multi-Armed Bandits.
 
-
-
 ## Workflow
 
 1. Develop locally.

diff --git a/docs/overview/overview.md b/docs/overview/overview.md
@@ -3,7 +3,7 @@
 Tempo is a python SDK for data scientists to help them move their models to production. It has 4 core goals:
 
   1. Data science friendly.
-  2. Pluggable runtimes.
+  2. Pluggable Seldon runtimes.
   3. Custom python inference components.
   4. Powerful orchestration logic.