Machine Learning, Fine Tuning, Kids And Tech, Language Model, Kids Education.
embedding layer with 51,200 input tokens and an output embedding size of 2,560. This layer is crucial for converting discrete input tokens into continuous vector representations, allowing the model to process and understand the input data. Encoder-Decoder Architecture The model uses a decoder-only