update README.md and docs

README.md

@@ -37,7 +37,7 @@ ___
 * Do you already have a subscription to a Cloud Provider for any the models above? Configure
 the model using your credentials and start querying!
 * Are you interested in knowing how to self-deploy open-source models in Azure and GCP?
-Consult our [guide](#TODO megatron6000 PR)
+Consult our [guide](https://allms.allegro.tech/usage/deploy_open_source_models/)
 
 ___
 

docs/usage/deploy_open_source_models.md

@@ -1,6 +1,6 @@
-# How to Deploy Open-source LLMs?
+# How to Deploy Open-source LLMs on Azure and GCP?
 
-## How to Deploy Azure Open-source LLMs?
+## Azure
 
 To use Open-source models like Llama or Mistral with allms, first you have to deploy it on your own on Azure as a ML Online Endpoint. 
 Here's how to do it:
@@ -35,5 +35,5 @@ llama_response = llama_model.generate("2+2 is?")
 In case of any problems with deployment, you can review this guide on the Azure blog: 
 [Introducing Llama 2 on Azure](https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/introducing-llama-2-on-azure/ba-p/3881233)
 
-## How to Deploy GCP Open-source LLMs?
-To deploy a model on the GCP VertexAI Model Garden, [follow the following guide](https://cloud.google.com/vertex-ai/docs/start/explore-models#deploy-a-model).
+## GCP
+[Follow the following guide](https://cloud.google.com/vertex-ai/docs/start/explore-models#deploy-a-model) to deploy a model on the GCP VertexAI Model Garden. 

mkdocs.yml

@@ -8,7 +8,7 @@ nav:
       - Basic: usage/basic.md
       - Advanced: usage/advanced.md
       - Forcing Structured Output Format: usage/forcing_response_format.md
-      - Azure Open-source Models Deployment: usage/deploy_open_source_models.md
+      - How to Deploy Open-source Models on Azure and GCP?: usage/deploy_open_source_models.md
   - API:
       - Domain: api/input_output_dataclasses.md
       - Models: