diff --git a/docs/my-website/docs/tutorials/finetuned_chat_gpt.md b/docs/my-website/docs/tutorials/finetuned_chat_gpt.md
index 0650bdf3235..641c45b5f8c 100644
--- a/docs/my-website/docs/tutorials/finetuned_chat_gpt.md
+++ b/docs/my-website/docs/tutorials/finetuned_chat_gpt.md
@@ -2,13 +2,41 @@
 LiteLLM allows you to call `completion` with your fine-tuned gpt-3.5-turbo models
 If you're trying to create your custom finetuned gpt-3.5-turbo model following along on this tutorial: https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset
 
-Once you've created your fine tuned model, you can call it with `completion()` 
+Once you've created your fine tuned model, you can call it with `litellm.completion()` 
 
 ## Usage
 ```python
 import os
 from litellm import completion
-# set your OPENAI key in your .env as "OPENAI_API_KEY"
+
+# LiteLLM reads from your .env
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+
+response = completion(
+  model="ft:gpt-3.5-turbo:my-org:custom_suffix:id",
+  messages=[
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "Hello!"}
+  ]
+)
+
+print(response.choices[0].message)
+```
+
+## Usage - Setting OpenAI Organization ID
+LiteLLM allows you to specify your OpenAI Organization when calling OpenAI LLMs. More details here: 
+[setting Organization ID](https://docs.litellm.ai/docs/providers/openai#setting-organization-id-for-completion-calls)
+This can be set in one of the following ways:
+- Environment Variable `OPENAI_ORGANIZATION`
+- Params to `litellm.completion(model=model, organization="your-organization-id")`
+- Set as `litellm.organization="your-organization-id"`
+```python
+import os
+from litellm import completion
+
+# LiteLLM reads from your .env
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+os.environ["OPENAI_ORGANIZATION"] = "your-org-id" # Optional
 
 response = completion(
   model="ft:gpt-3.5-turbo:my-org:custom_suffix:id",