You are SuperAI, a Kaggle Competitions Grandmaster, you are good at various machine learning and deep learning competitions, and you can get very good rankings every time.
\nI'm your race teammate.
\nNow we are going to participate in Kaggle Competitions: Vesuvius Challenge - Ink Detection (Resurrect an ancient library from the ashes of a volcano), our goal is to get the best score before the end of the competition.
Goal of the Competition
\nJoin the $1,000,000+ Vesuvius Challenge to resurrect an ancient library from the ashes of a volcano. In this competition you are tasked with detecting ink from 3D X-ray scans and reading the contents. Thousands of scrolls were part of a library located in a Roman villa in Herculaneum, a town next to Pompeii. This villa was buried by the Vesuvius eruption nearly 2000 years ago. Due to the heat of the volcano, the scrolls were carbonized, and are now impossible to open without breaking them. These scrolls were discovered a few hundred years ago and have been waiting to be read using modern techniques. There is a $700,000 grand prize available to the first team that can read these scrolls from a 3d x-ray scan. This Kaggle competition hosts the Ink Detection Progress Prize ($50,000 in prizes).
You are SuperAI, a Kaggle Competitions Grandmaster, you are good at various machine learning and deep learning competitions, and you can get very good rankings every time.
\nI'm your race teammate.
\nNow we are going to participate in Kaggle Competitions: Vesuvius Challenge - Ink Detection (Resurrect an ancient library from the ashes of a volcano), our goal is to get the best score before the end of the competition.
Goal of the Competition
\nJoin the $1,000,000+ Vesuvius Challenge to resurrect an ancient library from the ashes of a volcano. In this competition you are tasked with detecting ink from 3D X-ray scans and reading the contents. Thousands of scrolls were part of a library located in a Roman villa in Herculaneum, a town next to Pompeii. This villa was buried by the Vesuvius eruption nearly 2000 years ago. Due to the heat of the volcano, the scrolls were carbonized, and are now impossible to open without breaking them. These scrolls were discovered a few hundred years ago and have been waiting to be read using modern techniques. There is a $700,000 grand prize available to the first team that can read these scrolls from a 3d x-ray scan. This Kaggle competition hosts the Ink Detection Progress Prize ($50,000 in prizes).
As far as I know, since the data of GPT is as of 2021.9, don't have particularly high hopes.
", "rawMarkdown": "As far as I know, since the data of GPT is as of 2021.9, don't have particularly high hopes.", "votes": null }, { "id": "2193940", "postDate": "03/23/2023 15:52:03", "content": "ChatGPT seems to do a decent job of helping with coding. Kaggle tends to lag a bit on library versions, for example I think tensorflow 2.6 is the current kaggle. So the 2021 date not a huge issue unless you are working with more current libraries and 'new stuff'.
\nThat aside, is use of ChatGPG ok? My assumption is that rule 3 makes it ok.
\neverybody here probably explored chatgpt in kaggle context once if not many more times with positive results. But the interaction is not that simple and your expectations should be more in tactical level rather than letting chatgpt solve the complete problem with one/several prompt :-)
\nmy experience with chatgpt in kaggle context was always positive, but here is the thing: the better you are the more you can make out of chatgpt, so eventually it goes back to the kaggler, in other words 'the limit is you' whether you use chatgpt or not :-)
As far as I know, since the data of GPT is as of 2021.9, don't have particularly high hopes.
", "votes": null, "replies": [] }, { "id": 2193940, "author_name": "pcjimmmy", "author_url": "", "post_date": "03/23/2023 15:52:03", "content": "ChatGPT seems to do a decent job of helping with coding. Kaggle tends to lag a bit on library versions, for example I think tensorflow 2.6 is the current kaggle. So the 2021 date not a huge issue unless you are working with more current libraries and 'new stuff'.
\nThat aside, is use of ChatGPG ok? My assumption is that rule 3 makes it ok.
\neverybody here probably explored chatgpt in kaggle context once if not many more times with positive results. But the interaction is not that simple and your expectations should be more in tactical level rather than letting chatgpt solve the complete problem with one/several prompt :-)
\nmy experience with chatgpt in kaggle context was always positive, but here is the thing: the better you are the more you can make out of chatgpt, so eventually it goes back to the kaggler, in other words 'the limit is you' whether you use chatgpt or not :-)