feat(ai): added concept

Author: tgenaitay

ai-data/generative-apis/concepts.mdx

@@ -20,6 +20,10 @@ API rate limits define the maximum number of requests a user can make to the Gen
 
 A context window is the maximum amount of prompt data considered by the model to generate a response. Using models with high context length, you can provide more information to generate relevant responses. The context is measured in tokens.
 
+## Function calling
+
+Function calling allows a language model (LLM) to interact with external tools or APIs, executing specific tasks based on user requests. The LLM identifies the appropriate function, extracts needed parameters, and returns the results as structured data, typically in JSON format.
+
 ## Embeddings
 
 Embeddings are numerical representations of text data that capture semantic information in a dense vector format. In Generative APIs, embeddings are essential for tasks such as similarity matching, clustering, and serving as inputs for downstream models. These vectors enable the model to understand and generate text based on the underlying meaning rather than just the surface-level words.

ai-data/generative-apis/how-to/use-function-calling.mdx

@@ -186,6 +186,10 @@ if response.choices[0].message.tool_calls:
 
 ### Parallel function calling
 
+<Message type="warning">
+    Meta models do not support parallel tool calls.
+</Message>
+
 In addition to one function call described above, you can also call multiple functions in a single turn.
 This section shows an example for how you can use parallel function calling.