Update README.md

README.md

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 # NanoGPT Personal Experiment
 
-This repository contains my personal experiment with training and fine-tuning a GPT-2 style language model using the nanoGPT architecture. This project was undertaken as a learning exercise to understand transformer-based language models and explore the capabilities of modern AI architectures.
+This repository contains my personal experiment with training and fine-tuning a GPT-2 style language model. This project was undertaken as a learning exercise to understand transformer-based language models and explore the capabilities of modern AI architectures.
 
 ## Model Description
 
@@ -24,16 +24,14 @@ This model is based on the nanoGPT implementation, which is a minimal, clean imp
 ### Technical Details
 
 - Base Architecture: GPT-2
-- Implementation: nanoGPT
 - Training Infrastructure: 8x A100 80GB GPUs
 - Parameters: ~124M (similar to GPT-2 small)
 
 ### Training Process
 
 The model underwent a multi-stage training process:
-1. Initial training on a subset of the OpenWebText dataset
-2. Fine-tuning experiments on various datasets including Shakespeare's works
-3. Experimentation with different hyperparameters and optimization techniques
+- Initial training on a subset of the OpenWebText dataset
+- Experimentation with different hyperparameters and optimization techniques
 
 ### Features