Untitled1.ipynb - Colab
Untitled1.ipynb_ star File Edit View Insert Runtime Tools Help comment Comment people Share settings format_list_bulleted search vpn_key folder code terminal Code Text Gemini expand_less 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 import numpy as np import matplotlib.pyplot as plt # Step 1: Ask for traits to be rated def get_traits(): traits = [] while True: trait = input("Enter a trait you'd like to rate (or press Enter to finish): ") if trait == "": break traits.append(trait) return traits # Step 2: Create a database for storing the traits def create_database(num_people, traits): ratings = {} for trait in traits: ratings[trait] = [] print(f"\nPlease rate all people for the trait: {trait}") for i in range(num_people): while True:
Google Colab Sign in
related reading
- The Shape of AI | UX Patterns for Artificial Intelligence Designshapeof.ai
- Cookbookcookbook.openai.com
- Anthropic/values-in-the-wild · Datasets at Hugging Facehuggingface.co
- Datacurve | The data engine for frontier AIdatacurve.ai
- Contra Labs - Powered by Contracontralabs.com
- Amelia Wattenbergerwattenberger.com
- Notionnanransohoff.com
- Elicit: AI for scientific researchelicit.org
- There's An AI For That® — The front page of AItheresanaiforthat.com
- Hume AI - The AI toolkit for voice and emotionhume.ai
- GitHub - ansonyuu/matchmaking: Embedding space of names clustered based on their interests using the sentence-transformers all-MiniLM-L6-v2 modelgithub.com
- Data lab to train frontier models & evaluate agents | micro1micro1.ai