(docs) proxy quick start

docs/my-website/docs/proxy/quick_start.md

@@ -88,9 +88,10 @@ print(response)
 </Tabs>
 
 ## Quick Start - LiteLLM Proxy + Config.yaml
+The config allows you to create a model list and set `api_base`, `max_tokens` (all litellm params). See more details about the config [here](https://docs.litellm.ai/docs/proxy/configs)
 
 ### Create a Config for LiteLLM Proxy
-Example
+Example config
 
 ```yaml
 model_list:
@@ -112,7 +113,7 @@ model_list:
 litellm --config your_config.yaml
 ```
 
-## Quick Start Docker Image
+## Quick Start Docker Image: Github Container Registry
 
 ### Pull the litellm ghcr docker image
 See the latest available ghcr docker image here:
@@ -129,25 +130,26 @@ docker run ghcr.io/berriai/litellm:main-v1.10.0
 
 #### Run the Docker Image with LiteLLM CLI args
 
+See all supported CLI args [here](https://docs.litellm.ai/docs/proxy/cli): 
+
 Here's how you can run the docker image and pass your config to `litellm`
 ```shell
 docker run ghcr.io/berriai/litellm:main-v1.10.0 --config your_config.yaml
 ```
 
-Here's how you can run the docker image and pass your host, port to `litellm`
-Start litellm on port 8002
+Here's how you can run the docker image and start litellm on port 8002 with `num_workers=8`
 ```shell
 docker run ghcr.io/berriai/litellm:main-v1.10.0 --port 8002 --num_workers 8
 ```
 
-### Server Endpoints
+## Server Endpoints
 - POST `/chat/completions` - chat completions endpoint to call 100+ LLMs
 - POST `/completions` - completions endpoint
 - POST `/embeddings` - embedding endpoint for Azure, OpenAI, Huggingface endpoints
 - GET `/models` - available models on server
 - POST `/key/generate` - generate a key to access the proxy
 
-### Supported LLMs
+## Supported LLMs
 All LiteLLM supported LLMs are supported on the Proxy. Seel all [supported llms](https://docs.litellm.ai/docs/providers)
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