updated readme, ruff formatted all files

Fixed compiling issue, added legnth penalty, and atttempting freezing encoder layers 0-5 to lower parameters and preserve T5's langauge understanding.

Update LexiMind: improved training, model architecture, and evaluation

Fix Pylance type errors, add inductor compilation support

Full training run, code cleanup, mypy/ruff fixes

feat: Add FLAN-T5 compatibility with relative position bias

Style: Apply ruff formatting

Refactor: Consolidate dependencies, improve testing, and add CI/CD

Summarization fix

Summarization fix

Updated Greedy Decode w/ a minlen search

Finsihed Decoder Implementation, as well as prediction heads and multitask

Implemented the following parts for the Transformer model: poisional_encoding, feedfoward, encoder, and skeleton of decoder. As well as Test cases for each class respectively and visualizations

Implemented ScaledDotProduct Attention and Multi-Head Attention