1 points | by vpasupuleti10 5 hours ago
1 comments
Part-1 focused on how raw text becomes vectors the model can reason about — covering tokenization, subword units (BPE), and embedding vectors.
Part 2 looks at the next important piece of the pipeline: ?
Part-1 focused on how raw text becomes vectors the model can reason about — covering tokenization, subword units (BPE), and embedding vectors.
Part 2 looks at the next important piece of the pipeline: ?