nit

docs/getting_started/getting_started.md

@@ -1,4 +1,4 @@
-# Quickstart Guide
+# Basics
 
 This tutorial gives you a quick walkthrough about building an end-to-end language model application with LangChain.
 
@@ -91,7 +91,7 @@ Feetful of Fun
 For more details on how to use LLMs within LangChain, see the 
 [LLM Getting Started guide](../modules/models/llms/getting_started.ipynb).
 
-> **NOTE:** There is a subtle but crucial difference between text completion models such as GPT-3 and chat models such as GPT-4. The former corresponds to the `LLM` class (what we are demonstrating here) and the latter to the `ChatModel` class. We discuss `ChatModel`s [below](#chat-models) and in [Part 2 of the Quickstart Guide](./getting_started_chat.md).
+**NOTE:** There is a subtle but crucial difference between text completion models such as GPT-3 and chat models such as GPT-4. The former corresponds to the `LLM` class (what we are demonstrating here) and the latter to the `ChatModel` class. We discuss `ChatModel`s [below](#chat-models) and in [Part 2 of the Quickstart Guide](./getting_started_chat.md).
 
 
 ## Prompt Templates

docs/getting_started/getting_started_chat.md

@@ -1,13 +1,12 @@
-# Quickstart Guide: Part 2
-## Chat Models
+# Chat Models
 
-This guide walks you through how the core LangChain modules work with chat models. We recommend first reading through the [Quickstart Guide](./getting_started.md), which introduces the core concepts in the context of LLMs.
-
-Chat models are a variation on language models. While chat models use language models under the hood, the interface they expose is a bit different: rather than expose a "text in, text out" API, they expose an interface where "chat messages" are the inputs and outputs.
-
-Chat model APIs are fairly new, so we are still figuring out the correct abstractions.
-
-> **NOTE**: Before going further please make sure you've followed the [Installation](./getting_started.md#installation) and [Environment Setup](./getting_started.md#environment-setup) steps from the Quickstart Guide.
+This guide walks you through how the core LangChain modules work with chat models. We recommend first reading through the [Quickstart Guide](./getting_started.md), which introduces the core concepts in the context of LLMs.\
+\
+Chat models are a variation on language models. While chat models use language models under the hood, the interface they expose is a bit different: rather than expose a "text in, text out" API, they expose an interface where "chat messages" are the inputs and outputs.\
+\
+Chat model APIs are fairly new, so we are still figuring out the correct abstractions.\
+\
+**NOTE**: Before going further please make sure you've followed the [Installation](./getting_started.md#installation) and [Environment Setup](./getting_started.md#environment-setup) steps from the Quickstart Guide.
 
 ## Message Completions
 

docs/index.rst

@@ -30,7 +30,7 @@ Getting Started
    :name: getting_started
    :hidden:
 
-   getting_started/getting_started.md
+   getting_started/quickstart.rst
    getting_started/concepts.md
    getting_started/tutorials.md