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Which generative adversarial network is best?

A commercial recommendation prompt. We size how many people ask ChatGPT this from real search demand, then run it through ChatGPT to see which websites it recommends.

Est. people asking / mo
56K
CPC
$0.15
Total est. value / mo
$524
Common ways people ask this (15)
  • Which generative adversarial network should I use for image generation?
  • Which generative adversarial network should I use for image-to-image translation?
  • Which generative adversarial network should I use for style transfer?
  • Which generative adversarial network should I use for data augmentation?
  • Which generative adversarial network should I use for anomaly detection?
  • Which generative adversarial network should I use for super-resolution?
  • Which generative adversarial network should I use for text-to-image generation?
  • Which generative adversarial network should I use for video generation?
  • Which generative adversarial network should I use for medical imaging?
  • Which generative adversarial network should I use for beginners?
  • Which generative adversarial network should I use for research prototyping?
  • Which generative adversarial network should I use for high-resolution outputs?
  • Which generative adversarial network should I use for stable training?
  • Which generative adversarial network should I use for conditional generation?
  • Which generative adversarial network should I use for unsupervised learning?

What ChatGPT actually answered

One of the 5 times we asked ChatGPT this, verbatim. The leaderboard below aggregates all 5 runs.

You: Which generative adversarial network is best?
ChatGPT:
  1. arxiv.org
  2. wikipedia.org
  3. paperswithcode.com
  4. nvidia.com
  5. tensorflow.org
  6. pytorch.org
  7. openai.com
  8. deepmind.google
  9. stanford.edu
  10. mit.edu
  11. cs.cmu.edu
  12. github.com
  13. medium.com
  14. towardsdatascience.com
  15. analyticsvidhya.com
  16. research.google
  17. kaggle.com
  18. huggingface.co
  19. fast.ai
  20. doi.org

Websites ChatGPT recommends for this prompt

Aggregated across 5 runs (min 2/5 appearances). Estimated visits split the prompt's demand by rank. Sites matching the prompt's own brand are marked branded and excluded from the leaderboard.

RankWebsiteAppearsEst. visits / moEst. value / mo
2 arxiv.org 5/5 675 $101
3 paperswithcode.com 5/5 450 $67
4 nvidia.com 5/5 309 $46
5 openai.com 5/5 225 $33
6 github.com 5/5 169 $25
7 tensorflow.org 5/5 124 $18
8 pytorch.org 5/5 96 $14
9 stanford.edu 5/5 73 $10
10 mit.edu 5/5 56 $8
11 deepmind.com 3/5 45 $6
12 google.com 3/5 34 $5
13 towardsdatascience.com 4/5 28 $4
14 deepmind.google 2/5 23 $3
15 keras.io 2/5 17 $2
16 nature.com 2/5 14 $2
17 medium.com 3/5 11 $1
18 berkeley.edu 2/5 8 $1
19 cvpr.thecvf.com 2/5 7 $1
20 kaggle.com 2/5 6 $0
How is this estimated?

ChatGPT doesn't publish prompts, so we don't show logged conversations. We measure real demand for this topic from Google search volume, scale it to ChatGPT's user base (on average about 1 ChatGPT user for every 8 Google searchers, a ratio that varies by topic), and run the prompt through ChatGPT 5 times to record which websites it recommends and in what order. Estimated visits split that demand across the recommended sites by a click-through-by-rank curve. Every number is a modeled estimate, not measured analytics. Full methodology →