Update Readme again..

README.md

@@ -315,9 +315,9 @@ curl -X GET "http://localhost:8080/analyze?namespace=k8sgpt&explain=false"
 ```
 </details>
 
-### Additional AI providers  
+## Additional AI providers  
 
-#### Azure OpenAI  
+### Azure OpenAI  
 <em>Prerequisites:</em> an Azure OpenAI deployment is needed, please visit MS official [documentation](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource) to create your own.
 
 To authenticate with k8sgpt, you will need the Azure OpenAI endpoint of your tenant `"https://your Azure OpenAI Endpoint"`, the api key to access your deployment, the deployment name of your model and the model name itself.  
@@ -337,7 +337,7 @@ k8sgpt analyze --explain --backend azureopenai
 
 </details>
 
-#### Running local models
+### Running local models
 
 To run local models, it is possible to use OpenAI compatible APIs, for instance [LocalAI](https://github.com/go-skynet/LocalAI) which uses [llama.cpp](https://github.com/ggerganov/llama.cpp) and [ggml](https://github.com/ggerganov/ggml) to run inference on consumer-grade hardware. Models supported by LocalAI for instance are Vicuna, Alpaca, LLaMA, Cerebras, GPT4ALL, GPT4ALL-J and koala.