update docs

Author: alfredfrancis

README.md

@@ -18,7 +18,7 @@ You don’t need to be an expert at artificial intelligence to create an awesome
   - Spacy Word Embeddings
   - Intent Recognition (ML)
   - Entity Extraction (ML)
-  - One shot NLU using Large Language Models (LLMs)
+  - Zero shot NLU using Large Language Models (LLMs)
 - Persistent Memory & Context Management
 - API request fulfilment
 - Channel Integrations

docs/02-creating-order-status-check.md

@@ -67,6 +67,11 @@ Your order status is {{ result['status'] }}
 ```
 
 ## Training
+Now, let's train the NLU models to understand the user queries. We support two types of NLU pipelines:
+   - Default NLU pipeline (using traditional ML and NLP algorithms, requires manual training)
+   - Zero Shot NLU pipeline (using LLMs, no manual training needed)
+
+For this example, we'll use the default NLU pipeline. 
 
 ### 1. Add Training Phrases