Implement Byte Pair Encoding (BPE): train the merges and tokenize text.
BPE is the tokenizer behind GPT-style models, and implementing it proves you understand how subword vocabularies are built, not just that they exist. The signal is the iterative merge of the most frequent adjacent pair.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
BPE is the tokenizer behind GPT-style models, and implementing it proves you understand how subword vocabularies are built, not just that they exist. The signal is the iterative merge of the most frequent adjacent pair.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.