fix typos

Author: msakande

articles/ai-foundry/model-inference/includes/use-structured-outputs/intro.md

@@ -16,7 +16,7 @@ Free-form outputs of language models can be difficult to parse by software appli
 
 The following list describes typical scenarios where structured outputs are useful:
 
-* You need to extract specific information from a prompt and such information can be described as an schema with specific keys and types.
+* You need to extract specific information from a prompt and such information can be described as a schema with specific keys and types.
 * You need to parse information contained in the prompts.
 * You're using the model to control a workflow in your application where you can benefit from more rigid structures.
 * You're using the model as a zero-shot or few-shot learner.

articles/ai-foundry/model-inference/includes/use-structured-outputs/python.md

@@ -198,7 +198,7 @@ class Issue(BaseModel, extra="forbid"):
 Some things to notice:
 
 * We represent schemas using a class that inherits from `BaseModel`.
-* We set `extra="forbid"` to instruct Pyndantic to _not_ accept additional properties from what we've specified.
+* We set `extra="forbid"` to instruct Pydantic to _not_ accept additional properties from what we've specified.
 * We use type annotations to indicate the expected types.
 * `Literal` indicates we expect specific fixed values.
 
@@ -330,7 +330,7 @@ Let's consider the following chart:
 
 :::image type="content" source="../../media/use-structured-outputs/example-graph-treecover.png" alt-text="An example image showing a chart with the annual loss in thousand square kilometers of global tree cover across different climate zones." lightbox="../../media/use-structured-outputs/example-graph-treecover.png":::
 
-We can define a generic schema that can be used to encode the information contained in the chart and then use it for further analysis. We use [Pyndatic objects as described before](#use-pydantic-objects).
+We can define a generic schema that can be used to encode the information contained in the chart and then use it for further analysis. We use [Pydantic objects as described before](#use-pydantic-objects).
 
 ```python
 from pydantic import BaseModel