{ "id": 430092, "title": "The Winning Essays", "url": "/competitions/2023-kaggle-ai-report/discussion/430092", "author_name": "", "post_date": "2023-08-08T08:51:56.379568400Z", "votes": 2, "comment_count": 2, "views": 0, "content": "

Thanks for this Kaggle competition & Congrats to the Winners!

\n

Here's the reference to the winning solutions from each category in the 2023 Kaggle AI Report

\n

@iamleonie
\nCategory: Kaggle Competitions

\n

Winner's Notebook - Towards Green AI

\n

@radbear
\nCategory: Image and/or video data

\n

Winner's Notebook - Advances in AI Vision Models in the Last Two Years

\n

@rhysie
\nCategory: Tabular and/or time series data

\n

Winner's Notebook - Learnings From the Typical Tabular Modelling Pipeline

\n

@trushk
\nCategory: Generative AI

\n

Winner's Notebook - 2023 Kaggle AI Report on Generative AI

\n

@meghanabhange @patrikkenfack @ivaxisheth @maryambabaei @davembiazi
\nCategory: AI Ethics

\n

Winner's Notebook - Exploring the landscape of AI Ethics

\n

@pluvias
\nCategory: Other

\n

Winner's Notebook - Kaggle AI Report Optimization

\n

@abireltaief
\nCategory: Text data

\n

Winner's Notebook - Contemporary Large Language Models LLMs

", "messages": [ { "id": "2379672", "postDate": "08/08/2023 08:51:56", "content": "

Thanks for this Kaggle competition & Congrats to the Winners!

\n

Here's the reference to the winning solutions from each category in the 2023 Kaggle AI Report

\n

@iamleonie
\nCategory: Kaggle Competitions

\n

Winner's Notebook - Towards Green AI

\n

@radbear
\nCategory: Image and/or video data

\n

Winner's Notebook - Advances in AI Vision Models in the Last Two Years

\n

@rhysie
\nCategory: Tabular and/or time series data

\n

Winner's Notebook - Learnings From the Typical Tabular Modelling Pipeline

\n

@trushk
\nCategory: Generative AI

\n

Winner's Notebook - 2023 Kaggle AI Report on Generative AI

\n

@meghanabhange @patrikkenfack @ivaxisheth @maryambabaei @davembiazi
\nCategory: AI Ethics

\n

Winner's Notebook - Exploring the landscape of AI Ethics

\n

@pluvias
\nCategory: Other

\n

Winner's Notebook - Kaggle AI Report Optimization

\n

@abireltaief
\nCategory: Text data

\n

Winner's Notebook - Contemporary Large Language Models LLMs

", "rawMarkdown": "Thanks for this Kaggle competition & Congrats to the Winners! \n\nHere's the reference to the winning solutions from each category in the [2023 Kaggle AI Report](https://www.kaggle.com/competitions/2023-kaggle-ai-report/leaderboard)\n\n@iamleonie \n**Category: Kaggle Competitions**\n\nWinner's Notebook - [Towards Green AI](https://www.kaggle.com/code/iamleonie/towards-green-ai)\n\n@radbear \n**Category: Image and/or video data**\n\nWinner's Notebook - [Advances in AI Vision Models in the Last Two Years](https://www.kaggle.com/code/radbear/advances-in-ai-vision-models-in-the-last-two-years)\n\n@rhysie \n**Category: Tabular and/or time series data**\n\nWinner's Notebook - [Learnings From the Typical Tabular Modelling Pipeline](https://www.kaggle.com/code/rhysie/learnings-from-the-typical-tabular-pipeline)\n\n@trushk \n**Category: Generative AI**\n\nWinner's Notebook - [2023 Kaggle AI Report on Generative AI](https://www.kaggle.com/code/trushk/2023-kaggle-ai-report-generative-ai)\n\n@meghanabhange @patrikkenfack @ivaxisheth @maryambabaei @davembiazi \n**Category: AI Ethics**\n\nWinner's Notebook - [Exploring the landscape of AI Ethics](https://www.kaggle.com/code/patrikkenfack/exploring-the-landscape-of-ai-ethics)\n\n@pluvias \n**Category: Other**\n\nWinner's Notebook - [Kaggle AI Report Optimization](https://www.kaggle.com/code/pluvias/kaggle-ai-report-optimization)\n\n@abireltaief \n**Category: Text data**\n\nWinner's Notebook - [Contemporary Large Language Models LLMs](https://www.kaggle.com/code/abireltaief/contemporary-large-language-models-llms)", "votes": null }, { "id": "2379730", "postDate": "08/08/2023 09:07:11", "content": "

Thanks for compiling the list. Congratulations to the winners.

", "rawMarkdown": "Thanks for compiling the list. Congratulations to the winners.", "votes": null }, { "id": "2380437", "postDate": "08/08/2023 15:58:03", "content": "

This is what I was waiting for since the competition started. Store of knowledge. Thanks for compiling. Congratulations to all the winners and huge thanks for putting in the efforts.

", "rawMarkdown": "This is what I was waiting for since the competition started. Store of knowledge. Thanks for compiling. Congratulations to all the winners and huge thanks for putting in the efforts.", "votes": null } ], "comments": [ { "id": 2379730, "author_name": "crsuthikshnkumar", "author_url": "", "post_date": "08/08/2023 09:07:11", "content": "

Thanks for compiling the list. Congratulations to the winners.

", "votes": null, "replies": [] }, { "id": 2380437, "author_name": "shitbot009", "author_url": "", "post_date": "08/08/2023 15:58:03", "content": "

This is what I was waiting for since the competition started. Store of knowledge. Thanks for compiling. Congratulations to all the winners and huge thanks for putting in the efforts.

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2379672": "Thanks for this Kaggle competition & Congrats to the Winners! \n\nHere's the reference to the winning solutions from each category in the [2023 Kaggle AI Report](https://www.kaggle.com/competitions/2023-kaggle-ai-report/leaderboard)\n\n@iamleonie \n**Category: Kaggle Competitions**\n\nWinner's Notebook - [Towards Green AI](https://www.kaggle.com/code/iamleonie/towards-green-ai)\n\n@radbear \n**Category: Image and/or video data**\n\nWinner's Notebook - [Advances in AI Vision Models in the Last Two Years](https://www.kaggle.com/code/radbear/advances-in-ai-vision-models-in-the-last-two-years)\n\n@rhysie \n**Category: Tabular and/or time series data**\n\nWinner's Notebook - [Learnings From the Typical Tabular Modelling Pipeline](https://www.kaggle.com/code/rhysie/learnings-from-the-typical-tabular-pipeline)\n\n@trushk \n**Category: Generative AI**\n\nWinner's Notebook - [2023 Kaggle AI Report on Generative AI](https://www.kaggle.com/code/trushk/2023-kaggle-ai-report-generative-ai)\n\n@meghanabhange @patrikkenfack @ivaxisheth @maryambabaei @davembiazi \n**Category: AI Ethics**\n\nWinner's Notebook - [Exploring the landscape of AI Ethics](https://www.kaggle.com/code/patrikkenfack/exploring-the-landscape-of-ai-ethics)\n\n@pluvias \n**Category: Other**\n\nWinner's Notebook - [Kaggle AI Report Optimization](https://www.kaggle.com/code/pluvias/kaggle-ai-report-optimization)\n\n@abireltaief \n**Category: Text data**\n\nWinner's Notebook - [Contemporary Large Language Models LLMs](https://www.kaggle.com/code/abireltaief/contemporary-large-language-models-llms)", "2379730": "Thanks for compiling the list. Congratulations to the winners.", "2380437": "This is what I was waiting for since the competition started. Store of knowledge. Thanks for compiling. Congratulations to all the winners and huge thanks for putting in the efforts." }, "source": "meta" }