Video by H2O.ai via YouTube
Language models do not read words. They read tokens. That one detail shapes output quality and your AI bill.
Terms covered:
– Token: the basic chunk of text a model processes. Short words are usually one token, longer words split into several, and punctuation counts too.
– Tokenomics: the economics of token usage, and why costs add up fast across thousands of users and millions of interactions
– NLG (Natural Language Generation): the capability that produces human-readable text from data or instructions
– NER (Named Entity Recognition): pulling people, organizations, dates, locations and monetary values out of unstructured text
From how text enters a model, to what it costs, to what comes out, to how meaning gets extracted.
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AI Fundamentals Glossary | H2O.ai University
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#LLM #Tokenomics #NLP #AIGlossary #H2Oai