Minor grammar correction (#528)

docs/source/en/conceptual_guides/intro_agents.md

@@ -106,7 +106,7 @@ In a multi-step agent, at each step, the LLM can write an action, in the form of
 
 The reason for this simply that *we crafted our code languages specifically to be the best possible way to express actions performed by a computer*. If JSON snippets were a better expression, JSON would be the top programming language and programming would be hell on earth.
 
-The figure below, taken from [Executable Code Actions Elicit Better LLM Agents](https://huggingface.co/papers/2402.01030), illustrate some advantages of writing actions in code:
+The figure below, taken from [Executable Code Actions Elicit Better LLM Agents](https://huggingface.co/papers/2402.01030), illustrates some advantages of writing actions in code:
 
 <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/code_vs_json_actions.png">
 
@@ -115,4 +115,4 @@ Writing actions in code rather than JSON-like snippets provides better:
 - **Composability:** could you nest JSON actions within each other, or define a set of JSON actions to re-use later, the same way you could just define a python function?
 - **Object management:** how do you store the output of an action like `generate_image` in JSON?
 - **Generality:** code is built to express simply anything you can have a computer do.
-- **Representation in LLM training data:** plenty of quality code actions is already included in LLMs’ training data which means they’re already trained for this!
+- **Representation in LLM training data:** plenty of quality code actions are already included in LLMs’ training data which means they’re already trained for this!