Tokenization
Tokenization is the process of breaking text or other data into smaller units, called tokens, so that AI models can analyze and process the information. These tokens may represent characters, words, subwords, or symbols, depending on the model's design.
Why it Matters:
It’s a fundamental preprocessing step that allows language models to understand syntax, semantics, and context.
When designing custom software, QAT Global developers manage tokenization pipelines in NLP and LLM integrations. Our IT Staffing recruiters focus on data engineers and AI developers who understand token efficiency, especially when optimizing costs for API-based model usage.
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