Fix typos and add caveats (#27)

---------

Signed-off-by: rickyyx <[email protected]>

Author: rickyyx

README.md

@@ -29,6 +29,14 @@ Where the lines are randomly sampled from a collection of lines from Shakespeare
 
 To run the most basic load test you can the token_benchmark_ray script.
 
+
+### Caveats and Disclaimers
+
+- The endpoints provider backend might vary widely, so this is not a reflection on how the software runs on a particular hardware.
+- The results may vary with time of day.
+- The results may vary with the load.
+- The results may not correlate with users’ workloads.
+
 ### OpenAI Compatible APIs
 ```bash
 export OPENAI_API_KEY=secret_abcdefg
@@ -88,7 +96,7 @@ python token_benchmark_ray.py \
 
 ```
 
-### HuggingFace API
+### Hugging Face
 
 ```bash
 export HUGGINGFACE_API_KEY="YOUR_HUGGINGFACE_API_KEY"
@@ -164,9 +172,9 @@ python token_benchmark_ray.py \
 
 ```
 
-# Sagemaker
+### SageMaker
 
-Sagemaker doesn't return the total number of tokens that are generated by their endpoint, so tokens are counted using the LLama tokenizer.
+SageMaker doesn't return the total number of tokens that are generated by their endpoint, so tokens are counted using the LLama tokenizer.
 
 ```bash
 
@@ -244,7 +252,7 @@ python llm_correctness.py \
 
 ```
 
-### HuggingFacAPI
+### Hugging Face
 
 ```bash
 export HUGGINGFACE_API_KEY="YOUR_HUGGINGFACE_API_KEY"
@@ -309,9 +317,9 @@ python llm_correctness.py \
 
 ```
 
-### Sagemaker
+### SageMaker
 
-Sagemaker doesn't return the total number of tokens that are generated by their endpoint, so tokens are counted using the LLama tokenizer.
+SageMaker doesn't return the total number of tokens that are generated by their endpoint, so tokens are counted using the LLama tokenizer.
 
 ```bash