Tokens, Tokenomics & Language Generation: What Drives LLM Output

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. — AI Fundamentals Glossary | H2O.ai University Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E Free courses and certifications: https://h2o.ai/university #LLM #Tokenomics #NLP #AIGlossary #H2Oai