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Model Inputs
Tokens Token IDs Embeddings Cosine similarity Context windows System and user messages Prompt delimiters Structured prompts
Generation Controls
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Grounding & Retrieval
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Hallucination checks Prompt injection defense PII redaction Output schema validation Human review queues Golden test sets Latency measurement Token cost accounting
Generative AI / Model Inputs

Tokens

Learn Tokens in Generative AI with a focused explanation, a topic-specific example, and a mastery check.

12 min read • Beginner
generative-ai-001.py
python 
import re
text='Explain vector search briefly.'
tokens=re.findall(r'\w+|[^\w\s]',text)
print(tokens)
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Token IDs