{
  "id": 456565,
  "title": "forget about deep GNN .... use LLM to compile your model?",
  "url": "/competitions/predict-ai-model-runtime/discussion/456565",
  "author_name": "",
  "post_date": "2023-11-20T17:03:09.780457100Z",
  "votes": 9,
  "comment_count": 3,
  "views": 0,
  "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc0c5e55dc86ce7883e958450c080b60e%2FSelection_999(3998).png?generation=1700499773752922&amp;alt=media\" alt=\"\"></p>\n<p>will this be future kaggle competition?</p>\n<p>the paper:<br>\nLarge Language Models for Compiler Optimization<br>\n<a href=\"https://arxiv.org/pdf/2309.07062.pdf\" target=\"_blank\">https://arxiv.org/pdf/2309.07062.pdf</a></p>",
  "messages": [
    {
      "id": "2531955",
      "postDate": "11/20/2023 17:03:09",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc0c5e55dc86ce7883e958450c080b60e%2FSelection_999(3998).png?generation=1700499773752922&amp;alt=media\" alt=\"\"></p>\n<p>will this be future kaggle competition?</p>\n<p>the paper:<br>\nLarge Language Models for Compiler Optimization<br>\n<a href=\"https://arxiv.org/pdf/2309.07062.pdf\" target=\"_blank\">https://arxiv.org/pdf/2309.07062.pdf</a></p>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc0c5e55dc86ce7883e958450c080b60e%2FSelection_999(3998).png?generation=1700499773752922&alt=media)\n\nwill this be future kaggle competition?\n\nthe paper:\nLarge Language Models for Compiler Optimization\nhttps://arxiv.org/pdf/2309.07062.pdf",
      "votes": null
    },
    {
      "id": "2531960",
      "postDate": "11/20/2023 17:09:50",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fda994f4c774c69096df598aec2aebd0d%2FSelection_999(3999).png?generation=1700500056638103&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc442dced56ec9b0b725e9339752dc7e0%2FSelection_999(4000).png?generation=1700500187656205&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fda994f4c774c69096df598aec2aebd0d%2FSelection_999(3999).png?generation=1700500056638103&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc442dced56ec9b0b725e9339752dc7e0%2FSelection_999(4000).png?generation=1700500187656205&alt=media)",
      "votes": null
    },
    {
      "id": "2532234",
      "postDate": "11/20/2023 21:02:49",
      "content": "<p>I have tried some thing like this on past kaggle comp. no luck so far. </p>",
      "rawMarkdown": "I have tried some thing like this on past kaggle comp. no luck so far.",
      "votes": null
    },
    {
      "id": "2532627",
      "postDate": "11/21/2023 07:34:48",
      "content": "<p>Interesting topic. Worthy of a try and maybe a new competition?😀</p>",
      "rawMarkdown": "Interesting topic. Worthy of a try and maybe a new competition?😀",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2531960,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "11/20/2023 17:09:50",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fda994f4c774c69096df598aec2aebd0d%2FSelection_999(3999).png?generation=1700500056638103&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc442dced56ec9b0b725e9339752dc7e0%2FSelection_999(4000).png?generation=1700500187656205&amp;alt=media\" alt=\"\"></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2532234,
      "author_name": "lucasmorin",
      "author_url": "",
      "post_date": "11/20/2023 21:02:49",
      "content": "<p>I have tried some thing like this on past kaggle comp. no luck so far. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2532627,
      "author_name": "minhsienweng",
      "author_url": "",
      "post_date": "11/21/2023 07:34:48",
      "content": "<p>Interesting topic. Worthy of a try and maybe a new competition?😀</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2531955": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc0c5e55dc86ce7883e958450c080b60e%2FSelection_999(3998).png?generation=1700499773752922&alt=media)\n\nwill this be future kaggle competition?\n\nthe paper:\nLarge Language Models for Compiler Optimization\nhttps://arxiv.org/pdf/2309.07062.pdf",
    "2531960": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fda994f4c774c69096df598aec2aebd0d%2FSelection_999(3999).png?generation=1700500056638103&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fc442dced56ec9b0b725e9339752dc7e0%2FSelection_999(4000).png?generation=1700500187656205&alt=media)",
    "2532234": "I have tried some thing like this on past kaggle comp. no luck so far.",
    "2532627": "Interesting topic. Worthy of a try and maybe a new competition?😀"
  },
  "source": "meta"
}