feat(ai): better intro and image

Author: tgenaitay

tutorials/building-ai-application-function-calling/assets/function-calling.webp

@@ -1,9 +1,9 @@
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 meta:
-  title: Building a flight schedule assistant with function calling
+  title: Agentic AI with function calling on open-weight LLMs
   description: Learn how to implement function calling in your applications using a practical flight schedule example.
 content:
-  h1: Building a flight schedule assistant with function calling
+  h1: Get started with agentic AI: building a flight assistant with function calling on open-weight Llama 3.1
   paragraph: Create a smart flight assistant that can understand natural language queries and return structured flight information using function calling capabilities.
 tags: AI function-calling LLM python structured-data
 categories:
@@ -15,9 +15,9 @@ dates:
   posted: 2024-10-25
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-In today's AI-driven world, enabling natural language interactions with structured data systems has become increasingly important. Function calling allows AI models to bridge the gap between human queries and programmatic functions, creating more intuitive and powerful applications.
+In today's AI-driven world, enabling natural language interactions with structured data systems has become increasingly important. Function calling allows AI models like Llama 3.1 to bridge the gap between human queries and programmatic functions, creating powerful agents for many use cases.
 
-This tutorial will guide you through creating a flight schedule assistant that can understand natural language queries about flights and return structured information. We'll use Python and the OpenAI SDK to implement function calling, making it easy to integrate this solution into your existing applications.
+This tutorial will guide you through creating a simple flight schedule assistant that can understand natural language queries about flights and return structured information. We'll use Python and the OpenAI SDK to implement function calling on Llama 3.1, making it easy to integrate this solution into your existing applications.
 
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