feat: add interactive plot to view rope rotation angle as a function of dimension pair index (d) and token position index (k)

feat: made attention logits plot more interactive and added intuitive logic fir attention logits and attention scores

feat: enhance attention visualization with token context and improve markdown explanations

feat: add formla of Q, K matrix calculation

fix: made the sequence length accurate for real model setup and also added information on which attention head is attending which set of dims

feat: add explanation on `hidden_size = num_attention_heads * dim_per_head`

feat: increase seq_len and auto-update of dim on UI during compute

fix: re-add space.GPU to comply with mandatory gpu usage

feat: add rope visualization only with some minor cmparison with sinusoidial positional embedding

fix: add spaces to comply with mandatory use og nvidia gpu on huggingface

fix: make numpy constraintless because of dependency on 3.10 on huggingface platform

feat: basic setup with docker, no real code has been added for visualization yet

fix: Fix Hugging Face username in workflow

feat: add workflow for github->hf sync (for building a hf space for visualization)

Added visualization for rope implementation

Added rope implementation code with explanation

feat: added bare minimum rel-position embedding

feat: added bare mimimum implementation of absolute sinusoidal positional encoding

Initial commit