{
  "id": 380126,
  "title": "If chatGPT was a Kaggle player",
  "url": "/competitions/otto-recommender-system/discussion/380126",
  "author_name": "",
  "post_date": "2023-01-22T09:39:58.462866700Z",
  "votes": 5,
  "comment_count": 2,
  "views": 0,
  "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F679ed728742decc0df4b9d271b4ce606%2FCaptura%20de%20tela%202023-01-22%20123431.png?generation=1674380087462441&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F92417f12782c4bede25267babf4a8a1e%2FCaptura%20de%20tela%202023-01-22%20123935.png?generation=1674380385901460&amp;alt=media\" alt=\"\"></p>\n<p>Of course, if you try it pandas and apyori lib isn't enough to solve this problem due to the dimensionality problem. But it was fun to try it.  </p>",
  "messages": [
    {
      "id": "2110591",
      "postDate": "01/22/2023 09:39:58",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F679ed728742decc0df4b9d271b4ce606%2FCaptura%20de%20tela%202023-01-22%20123431.png?generation=1674380087462441&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F92417f12782c4bede25267babf4a8a1e%2FCaptura%20de%20tela%202023-01-22%20123935.png?generation=1674380385901460&amp;alt=media\" alt=\"\"></p>\n<p>Of course, if you try it pandas and apyori lib isn't enough to solve this problem due to the dimensionality problem. But it was fun to try it.  </p>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F679ed728742decc0df4b9d271b4ce606%2FCaptura%20de%20tela%202023-01-22%20123431.png?generation=1674380087462441&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F92417f12782c4bede25267babf4a8a1e%2FCaptura%20de%20tela%202023-01-22%20123935.png?generation=1674380385901460&alt=media)\n\n\nOf course, if you try it pandas and apyori lib isn't enough to solve this problem due to the dimensionality problem. But it was fun to try it.",
      "votes": null
    },
    {
      "id": "2110598",
      "postDate": "01/22/2023 09:52:31",
      "content": "<p>It can also suggest things that you didn't think of before when you ask for help semantically instead of asking for an absolute solution. 👀</p>",
      "rawMarkdown": "It can also suggest things that you didn't think of before when you ask for help semantically instead of asking for an absolute solution. 👀",
      "votes": null
    },
    {
      "id": "2111758",
      "postDate": "01/23/2023 06:42:24",
      "content": "<p>This try is quite interesting, maybe trying multiple different prompts can even provide information about which type of model architecture will be apt to learn features from the dataset given.</p>",
      "rawMarkdown": "This try is quite interesting, maybe trying multiple different prompts can even provide information about which type of model architecture will be apt to learn features from the dataset given.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2110598,
      "author_name": "nlztrk",
      "author_url": "",
      "post_date": "01/22/2023 09:52:31",
      "content": "<p>It can also suggest things that you didn't think of before when you ask for help semantically instead of asking for an absolute solution. 👀</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2111758,
      "author_name": "chakshuanupdhannawat",
      "author_url": "",
      "post_date": "01/23/2023 06:42:24",
      "content": "<p>This try is quite interesting, maybe trying multiple different prompts can even provide information about which type of model architecture will be apt to learn features from the dataset given.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2110591": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F679ed728742decc0df4b9d271b4ce606%2FCaptura%20de%20tela%202023-01-22%20123431.png?generation=1674380087462441&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3228281%2F92417f12782c4bede25267babf4a8a1e%2FCaptura%20de%20tela%202023-01-22%20123935.png?generation=1674380385901460&alt=media)\n\n\nOf course, if you try it pandas and apyori lib isn't enough to solve this problem due to the dimensionality problem. But it was fun to try it.",
    "2110598": "It can also suggest things that you didn't think of before when you ask for help semantically instead of asking for an absolute solution. 👀",
    "2111758": "This try is quite interesting, maybe trying multiple different prompts can even provide information about which type of model architecture will be apt to learn features from the dataset given."
  },
  "source": "meta"
}