Update README.md

README.md

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 # Turing
 
-Turing is a character-level AI language model based on the GCLM (Global Context Language Model) architecture. It is designed to learn from text using a hybrid approach of Local 1D Convolutions for short-range dependencies and FFT-based Global 1D Convolutions for long-range context.
+Turing is a character-level AI language model based on the GCLM (Global Convolutional Language Model) architecture. It is designed to learn from text using a hybrid approach consisting of local 1-dimensional convolutions for short-range dependencies and FFT-based global 1D convolutions for long-range context.
 
 ## Architecture
 
 The model (`GCLM`) processes sequences using a stack of blocks that alternate between:
-- **LocalConv1D**: Captures immediate local context.
-- **GlobalConv1D**: Uses FFT to capture global context across the entire sequence length.
+- **LocalConv1D**: Captures local context (small chunks of n tokens)
+- **GlobalConv1D**: Uses the FFT (Fast Fourier Transform) to capture global context across the entire sequence length.
 
 ## Usage
 
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 ```
 
 ## Requirements
-- Python 3
-- PyTorch
-- tqdm
+- Python 3 (install at https://python.org)
+- PyTorch (run `pip install torch`)
+- tqdm (`pip install tqdm`)