A shared folder with AI prompts and code snippets
From workspace: Learn Prompting
Team: Main
Total snippets: 7
7 snippets
Includes one labeled example before the target inputs
Classify the sentiment of the following text as positive, negative, or neutral. Text: The product is terrible. Sentiment: Negative Text: I think the vacation was okay. Sentiment:
Classifies short text inputs in JSON key-value format.
"Great product, 10/10": {"label": "positive"} "Didn't work very well": {"label": "negative"} "Super helpful, worth it": {"label": "positive"}
Classifies the sentiment of a single text with no examples provided.
Classify the sentiment of the following text as positive, negative, or neutral. Text: I think the vacation was okay. Sentiment:
Extracts structured information from job listings based on examples.
INPUT: Software Engineer - Python specialist needed at TechCorp. 5+ years experience required. Salary range $90,000 - $120,000. Remote work available. Apply by June 30, 2024. OUTPUT: Position: Software Engineer Specialization: Python Company:...
Provides sample travel itineraries by destination and trip type.
Destination: Tokyo, Japan Trip Type: Cultural Exploration Itinerary: A 5-day immersion in Tokyo's blend of tradition and modernity. Visit ancient temples like Senso-ji, then explore futuristic districts like Akihabara. Experience a tea ceremony,...
Provides several examples before asking for classification.
Classify the sentiment of the following text as positive, negative, or neutral. Text: The product is terrible. Sentiment: Negative Text: Super helpful, worth it Sentiment: Positive Text: It doesnt work! Sentiment:
Classifies short text inputs using a colon-separated structure.
Great product, 10/10: positive Didn't work very well: negative Super helpful, worth it: positive It doesnt work!: