doc: small change to readablity. (#281)

Co-authored-by: Ted Fulk <tfulk@getspiffy.com>

README.md

@@ -26,12 +26,11 @@ Our `instructor.patch` for the `OpenAI` class introduces three key enhancements:
 
 - **Response Mode:** Specify a Pydantic model to streamline data extraction.
 - **Max Retries:** Set your desired number of retry attempts for requests.
-- **Validation Context:** Provide a context object for enhanced validator access.
-  A Glimpse into Instructor's Capabilities
+- **Validation Context:** Provide a context object for enhanced validator access. A Glimpse into Instructor's Capabilities.
 
 !!! note "Using Validators"
 
-    Learn more about validators checkout our blog post [Good llm validation is just good validation](https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/)
+Learn more about validators checkout our blog post [Good llm validation is just good validation](https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/)
 
 With Instructor, your code becomes more efficient and readable. Here’s a quick peek:
 
@@ -62,7 +61,7 @@ assert user.name == "Jason"
 assert user.age == 25
 ```
 
-**"Using `openai<1.0.0`"**
+### "Using `openai<1.0.0`"
 
 If you're using `openai<1.0.0` then make sure you `pip install instructor<0.3.0`
 where you can patch a global client like so:
@@ -79,7 +78,7 @@ user = openai.ChatCompletion.create(
 )
 ```
 
-**"Using async clients"**
+### "Using async clients"
 
 For async clients you must use apatch vs patch like so:
 
@@ -174,7 +173,7 @@ except ValidationError as e:
     print(e)
 ```
 
-Its important to not here that the error message is generated by the LLM, not the code, so it'll be helpful for re asking the model.
+Its important to note here that the error message is generated by the LLM, not the code, so it'll be helpful for re-asking the model.
 
 ```plaintext
 1 validation error for QuestionAnswer
@@ -226,7 +225,7 @@ We invite you to contribute evals in pytest as a way to monitor the quality of t
 
 If you want to help out checkout some of the issues marked as `good-first-issue` or `help-wanted`. Found [here](https://github.com/jxnl/instructor/labels/good%20first%20issue). They could be anything from code improvements, a guest blog post, or a new cook book.
 
-## CLI 
+## CLI
 
 We also provide some added CLI functionality for easy convinience