r/PromptEngineering
PromptEngineering
en
Prompt engineering is the application of engineering practices to the development of prompts - i.e., inputs into generative models like GPT or Midjourney.
Prompt engineering is the application of engineering practices to the development of prompts - i.e., inputs into generative natural language models like GPT-3.
13,126
February 26, 2021
public
all_ads
Total Submissions
971
Total Comments
3,213
Earliest Submission
February 26, 2021
Earliest Comment
April 22, 2021
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 659 | 158,914 | 1001.5 | 1.3 | 755.77 | |
| #2 | 86 | 28,697 | 130.7 | 0.2 | 546.17 | |
| #3 | 104 | 36,721 | 158.0 | 0.3 | 516.16 | |
| #4 | 6,110 | 2,209,230 | 9285.4 | 18.4 | 504.04 | |
| #5 | 2,033 | 876,336 | 3089.6 | 7.3 | 422.80 | |
| #6 | 191 | 85,043 | 290.3 | 0.7 | 409.32 | |
| #7 | 989 | 474,410 | 1503.0 | 4.0 | 379.94 | |
| #8 | 108 | 52,741 | 164.1 | 0.4 | 373.20 | |
| #9 | 545 | 279,369 | 828.2 | 2.3 | 355.54 | |
| #10 | 81 | 44,684 | 123.1 | 0.4 | 330.37 | |
| #11 | 36 | 21,973 | 54.7 | 0.2 | 298.59 | |
| #12 | 172 | 105,722 | 261.4 | 0.9 | 296.50 | |
| #13 | 41 | 25,381 | 62.3 | 0.2 | 294.40 | |
| #14 | 77 | 50,279 | 117.0 | 0.4 | 279.11 | |
| #15 | 30 | 22,219 | 45.6 | 0.2 | 246.07 | |
| #16 | 67 | 51,193 | 101.8 | 0.4 | 238.52 | |
| #17 | 39 | 32,772 | 59.3 | 0.3 | 216.89 | |
| #18 | 402 | 342,137 | 610.9 | 2.9 | 214.14 | |
| #19 | 35 | 29,910 | 53.2 | 0.2 | 213.27 | |
| #20 | 104 | 97,807 | 158.0 | 0.8 | 193.79 | |
| #21 | 256 | 261,125 | 389.0 | 2.2 | 178.67 | |
| #22 | 69 | 70,396 | 104.9 | 0.6 | 178.64 | |
| #23 | 49 | 50,126 | 74.5 | 0.4 | 178.16 | |
| #24 | 899 | 948,452 | 1366.2 | 7.9 | 172.75 | |
| #25 | 49 | 53,901 | 74.5 | 0.4 | 165.68 | |
| #26 | 46 | 53,263 | 69.9 | 0.4 | 157.40 | |
| #27 | 75 | 87,098 | 114.0 | 0.7 | 156.94 | |
| #28 | 58 | 67,474 | 88.1 | 0.6 | 156.66 | |
| #29 | 79 | 93,860 | 120.1 | 0.8 | 153.40 | |
| #30 | 56 | 67,527 | 85.1 | 0.6 | 151.14 | |
| #31 | 39 | 48,004 | 59.3 | 0.4 | 148.07 | |
| #32 | 106 | 132,180 | 161.1 | 1.1 | 146.15 | |
| #33 | 81 | 102,226 | 123.1 | 0.9 | 144.41 | |
| #34 | 158 | 202,404 | 240.1 | 1.7 | 142.27 | |
| #35 | 44 | 56,460 | 66.9 | 0.5 | 142.03 | |
| #36 | 184 | 239,890 | 279.6 | 2.0 | 139.79 | |
| #37 | 45 | 60,070 | 68.4 | 0.5 | 136.53 | |
| #38 | 32 | 43,536 | 48.6 | 0.4 | 133.96 | |
| #39 | 53 | 72,145 | 80.5 | 0.6 | 133.89 | |
| #40 | 89 | 127,264 | 135.3 | 1.1 | 127.45 | |
| #41 | 33 | 48,804 | 50.2 | 0.4 | 123.23 | |
| #42 | 30 | 45,107 | 45.6 | 0.4 | 121.21 | |
| #43 | 62 | 93,924 | 94.2 | 0.8 | 120.30 | |
| #44 | 213 | 329,991 | 323.7 | 2.8 | 117.64 | |
| #45 | 378 | 593,940 | 574.4 | 5.0 | 115.99 | |
| #46 | 283 | 448,741 | 430.1 | 3.7 | 114.94 | |
| #47 | 40 | 64,483 | 60.8 | 0.5 | 113.05 | |
| #48 | 135 | 260,353 | 205.2 | 2.2 | 94.50 | |
| #49 | 36 | 71,212 | 54.7 | 0.6 | 92.13 | |
| #50 | 41 | 82,319 | 62.3 | 0.7 | 90.77 |