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 / Generation Controls

Stop sequences

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

12 min read • Beginner
generative-ai-012.py
python 
generated='Answer: approved\nEND\nextra text'
print(generated.split('\nEND')[0])
What to watch
Content source & attribution
Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

Stop sequences Mastery Check →
← PREVIOUS
Top-p sampling
NEXT →
Maximum output tokens