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GPT-4o tokenizer explained: 'strawberry' broken down into 3 tokens

By PulseAugur Editorial · [1 sources] ·

A video explains how GPT-4o's tokenizer processes the word "strawberry," breaking it down into three tokens: " st," "raw," and "berry." The explanation highlights that this tokenization method, using byte-pair encoding, allows for a more efficient representation of words compared to older methods. It also notes that GPT-4o's tokenizer is more efficient than GPT-4's, as demonstrated by a Hindi sentence that required significantly fewer tokens with GPT-4o. AI

IMPACT Provides insight into the internal workings of LLM tokenizers, potentially improving understanding and usage.

RANK_REASON The item is a user-created explanation and analysis of a feature of a released model, not a direct announcement from the model's creator.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GPT-4o tokenizer explained: 'strawberry' broken down into 3 tokens

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  1. r/MachineLearning TIER_1 English(EN) · /u/Rajucg ·

    I animated what GPT-4o's tokenizer does to "strawberry": real token ids, a tiny BPE run, and why the space belongs to the word (6 min video) [D]

    <!-- SC_OFF --><div class="md"><p>I made this explainer for my small channel and would like feedback from people learning this, especially if anything is wrong.</p> <p>It follows one word the whole way:</p> <ul> <li>&quot;How many r's are in strawberry?&quot; is 8 tokens in o200k…

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