Add navigation to README

README.md

@@ -2,7 +2,7 @@
 
 # 🌸 Nagato
 
-### The open framework for finetuning LLMs on private data
+### Nagato is a framework that enables any developer to streamline the creation of fine-tuned embedding and language models specifically tailored to a given corpus of data
 
 <p>
 <img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/homanp/Nagato" />
@@ -17,9 +17,12 @@
 </div>
 
 -----
-
-Nagato is a framework that enables any developer to streamline the creation of fine-tuned embedding and language models specifically tailored to a given corpus of data
-
+<p align="center">
+  <a href="#quick-start-guide">Quick Start Guide</a> •
+  <a href="#features">Features</a> •
+  <a href="#key-benefits">Key benefits</a> •
+  <a href="#how-it-works">How it works</a>
+</p>
 -----
 
 ## Features
@@ -58,4 +61,4 @@ Nagato utilizes distinct strategies to process structured and unstructured data,
 
 1. **Sandboxed REPL**: Nagato features a secure, sandboxed Read-Eval-Print Loop (REPL) environment to execute code snippets against the structured text data. This facilitates flexible and dynamic processing of structured data formats like JSON, CSV or XML.
 
-2. **Evaluation/Prediction Using a Code Interpreter**: Post-initial processing, a code interpreter evaluates various code snippets within the sandboxed environment to produce predictions or analyses based on the structured text data. This capability allows the extraction of highly specialized insights tailored to the domain or subject matter.
+2. **Evaluation/Prediction Using a Code Interpreter**: Post-initial processing, a code interpreter evaluates various code snippets within the sandboxed environment to produce predictions or analyses based on the structured text data. This capability allows the extraction of highly specialized insights tailored to the domain or subject matter.