Master programming syntax, solve interactive challenges & run live code in Syntaxis Explore Arena →

menu_book Course Curriculum (Generative AI) expand_more

Model Inputs

Tokens Token IDs Embeddings Cosine similarity Context windows System and user messages Prompt delimiters Structured prompts

Generation Controls

Temperature Top-k sampling Top-p sampling Stop sequences Maximum output tokens Deterministic seeds Frequency penalties Streaming tokens

Grounding & Retrieval

Chunking documents Vector search Top-k retrieval Metadata filtering Prompt grounding Citation mapping Context packing Reranking results

Evaluation & Safety

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

Token IDs

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

12 min read • Beginner

generative-ai-002.py

python

vocab={'<unk>':0,'hello':1,'model':2}
words='hello model hello'.split()
print([vocab.get(w,0) for w in words])

What to watch

Content source & attribution

Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

Token IDs Mastery Check →