“This article describes a simple general-purpose data compression algorithm, called Byte Pair Encoding (BPE)” 也就是一个压缩算法。 BPE 现如今的主要职责是?作为分词算法,构建词表并进行编码与解码。 为什么需要专门的分词算法,又为什么选择 BPE 而不是其他的压缩编码算法呢,例如 Huffman 编码?
BPE (Byte-Pair Encoding) 字节对编码 (BPE) 最初是作为一种压缩文本的算法开发的,最早是由Philip Gage于1994年在《A New Algorithm for Data Compression》一文中提出,后来被 OpenAI 在预训练 GPT 模型时用于分词器(Tokenizer)。它被许多 Transformer 模型使用,包括 GPT、GPT-2、RoBERTa、BART 和DeBERTa。 本文...
Minimal, clean code for the (byte-level) Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. The BPE algorithm is "byte-level" because it runs on UTF-8 encoded strings. This algorithm was popularized for LLMs by the GPT-2 paper and the associated GPT-2 code release fro...
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. - SummerRaining/minbpe
总之,BPE是最广泛使用的子词标记化算法之一,尽管它是贪婪的,但它具有良好的性能。 参考内容: https://towardsdatascience.com/byte-pair-encoding-subword-based-tokenization-algorithm-77828a70bee0 https://en.wikipedia.org/wiki/Byte_pair_encoding
总之,BPE是最广泛使用的子词标记化算法之一,尽管它是贪婪的,但它具有良好的性能。 参考内容: https://towardsdatascience.com/byte-pair-encoding-subword-based-tokenization-algorithm-77828a70bee0 https://en.wikipedia.org/wiki/Byte_pair_encoding
This tokenizer is used by most state-of-the-art NLP models. So let’s get started with knowing first what subword-based tokenizers are and then understanding the Byte-Pair Encoding (BPE) algorithm used by the state-of-the-art NLP models. 🙃...
Motivated by this challenge, this paper employs Byte Pair Encoding (BPE) algorithm for password segmentation, extracting those non-semantical patterns which are frequently used in passwords subconsciously by people. Based on the segmentation, we propose a BPE-PCFGs model to generate password guesses....
Byte Pair Encoding, or BPE, is a subword segmentation algorithm that encodes rare and unknown words as sequences of subword units. The intuition is that various word classes are translatable via smaller units than words, for instance names (via character copying or transliteration), compounds (...
Like many other applications of deep learning being inspired by traditional science, Byte Pair Encoding (BPE) subword tokenization also finds its roots deep within a simple lossless data compression algorithm. BPE was first introduced by Philip Gage in the article “A New Algorithm for Data Compress...