docs: `DeepInfra` provider page update (#16665)

- added description, links
- consistent formatting
- added links to the example pages

docs/docs/integrations/providers/deepinfra.mdx

@@ -1,45 +1,52 @@
 # DeepInfra
 
-This page covers how to use the DeepInfra ecosystem within LangChain.
+>[DeepInfra](https://deepinfra.com/docs) allows us to run the 
+> [latest machine learning models](https://deepinfra.com/models) with ease. 
+> DeepInfra takes care of all the heavy lifting related to running, scaling and monitoring 
+> the models. Users can focus on your application and integrate the models with simple REST API calls.
+
+>DeepInfra provides [examples](https://deepinfra.com/docs/advanced/langchain) of integration with LangChain.
+
+This page covers how to use the `DeepInfra` ecosystem within `LangChain`.
 It is broken into two parts: installation and setup, and then references to specific DeepInfra wrappers.
 
 ## Installation and Setup
+
 - Get your DeepInfra api key from this link [here](https://deepinfra.com/).
 - Get an DeepInfra api key and set it as an environment variable (`DEEPINFRA_API_TOKEN`)
 
 ## Available Models
 
 DeepInfra provides a range of Open Source LLMs ready for deployment.
-You can list supported models for
+
+You can see supported models for
 [text-generation](https://deepinfra.com/models?type=text-generation) and
 [embeddings](https://deepinfra.com/models?type=embeddings).
-google/flan\* models can be viewed [here](https://deepinfra.com/models?type=text2text-generation).
 
 You can view a [list of request and response parameters](https://deepinfra.com/meta-llama/Llama-2-70b-chat-hf/api).
 
 Chat models [follow openai api](https://deepinfra.com/meta-llama/Llama-2-70b-chat-hf/api?example=openai-http)
 
-## Wrappers
 
-### LLM
+## LLM
 
-There exists an DeepInfra LLM wrapper, which you can access with
+See a [usage example](/docs/integrations/llms/deepinfra).
 
 ```python
 from langchain_community.llms import DeepInfra
 ```
 
-### Embeddings
+## Embeddings
 
-There is also an DeepInfra Embeddings wrapper, you can access with
+See a [usage example](/docs/integrations/text_embedding/deepinfra).
 
 ```python
 from langchain_community.embeddings import DeepInfraEmbeddings
 ```
 
-### Chat Models
+## Chat Models
 
-There is a chat-oriented wrapper as well, accessible with
+See a [usage example](/docs/integrations/chat/deepinfra).
 
 ```python
 from langchain_community.chat_models import ChatDeepInfra