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News/MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression
arxiv
PublishedApril 27, 2026 at 4:00 AM
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MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression

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arXiv:2410.21548v3 Announce Type: replace Abstract: Large language models have drastically changed the prospects of AI by introducing technologies for more complex natural language processing. However, current methodologies to train such LLMs require extensive resources including but not limited to

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