updates some spelling mistakes (#8537)

Just updating some spelling / grammar issues in the documentation. No
code changes.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

docs/extras/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store.ipynb

@@ -25,7 +25,7 @@
     "\n",
     "To start, we will use the popular open source feature store framework [Feast](https://github.com/feast-dev/feast).\n",
     "\n",
-    "This assumes you have already run the steps in the README around getting started. We will build of off that example in getting started, and create and LLMChain to write a note to a specific driver regarding their up-to-date statistics."
+    "This assumes you have already run the steps in the README around getting started. We will build off of that example in getting started, and create and LLMChain to write a note to a specific driver regarding their up-to-date statistics."
    ]
   },
   {

docs/snippets/get_started/quickstart/llm_chain.mdx

@@ -17,7 +17,7 @@ class CommaSeparatedListOutputParser(BaseOutputParser):
         return text.strip().split(", ")
 
 template = """You are a helpful assistant who generates comma separated lists.
-A user will pass in a category, and you should generated 5 objects in that category in a comma separated list.
+A user will pass in a category, and you should generate 5 objects in that category in a comma separated list.
 ONLY return a comma separated list, and nothing more."""
 system_message_prompt = SystemMessagePromptTemplate.from_template(template)
 human_template = "{text}"

docs/snippets/modules/model_io/prompts/prompt_templates/get_started.mdx

@@ -74,7 +74,7 @@ These chat messages differ from raw string (which you would pass into a [LLM](/d
 
 For example, in OpenAI [Chat Completion API](https://platform.openai.com/docs/guides/chat/introduction), a chat message can be associated with the AI, human or system role. The model is supposed to follow instruction from system chat message more closely.
 
-LangChain provides several prompt templates to make constructing and working with prompts easily. You are encouraged to use these chat related prompt templates instead of `PromptTemplate` when querying chat models to fully exploit the potential of underlying chat model.
+LangChain provides several prompt templates to make constructing and working with prompts easy. You are encouraged to use these chat related prompt templates instead of `PromptTemplate` when querying chat models to fully utilize the potential of the underlying chat model.