Developers explore building a language model from scratch using character-based tokenization, a method that addresses out-of-vocabulary issues and is language-independent but struggles with long sequences and memory constraints. This approach highlights the necessity of more efficient sub-word tokenizers like Byte Pair Encoding (BPE) for modern large language models.
This exploration underscores the importance of infrastructure improvements in advancing AI capabilities, paving the way for future innovations in natural language processing.
Read the full article at Towards AI - Medium
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Ali NematiWritten by Ali
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