Insights from the Andrej Karpathy episode “Let's build the GPT Tokenizer”, published February 20, 2024.
Tokenization is not merely a preprocessing step; it is the fundamental unit of LLM reasoning. Inefficient tokenization—like that found in early models—bloats sequences and cripples performance on tasks like coding and non-English languages. Mastering Byte Pair Encoding (BPE) is essential to optimizing context length and model efficiency.
Topics: LLM, Tokenization, BPE, Machine Learning, Transformer Architecture
