We have many teams and their work to read/make peer-feedbacks.
\nIn general, our community don't spend time reading Beginners/Contributors work.
\nAlgorithms bring up the Hottest (= Most voted), codes that were delivered first or we spend more time reading our friends too.
\nIt's just a hint and my personal insight too.
\nMINI-GIANTS: \"SMALL\" LANGUAGE MODELS
\nAuthors: Zhengping Zhou, Lezhi Li, Xinxi Chen and Yuxi Li.
\nhttps://www.kaggle.com/code/mistylight/mini-giants-small-language-models/notebook
A PRIMER on AI ETHICS VIA arXiv- focus 2020-2023
\nAuthor: Roberto Lofaro
\nhttps://www.kaggle.com/code/robertolofaro/a-primer-on-ai-ethics-via-arxiv-focus-2020-2023
MACHINE UNLEARNING: The RIGHT TO BE FORGOTTEN
\nAuthors: Thanh Tam Nguyen, Hieu Nguyen, Vi Nguyen Thi Huong
\nhttps://www.kaggle.com/code/tamlhp/machine-unlearning-the-right-to-be-forgotten/notebook#Machine-Unlearning:-The-Right-to-be-Forgotten
Watch and Yearn: \"A variation of the common phrase \"watch and learn\", used when demonstrating an action so difficult and skillful that viewers would never be able to \"learn\" how to do it, simply \"yearn\" to one day be able to pull off such an act.\"
\nhttps://www.urbandictionary.com/define.php?term=Watch%20and%20yearn
I'm very glad to participate on this Kaggle competition.
\nAfter the last title, Me and my Insignifance have the right to be forgotten : )
We have many teams and their work to read/make peer-feedbacks.
\nIn general, our community don't spend time reading Beginners/Contributors work.
\nAlgorithms bring up the Hottest (= Most voted), codes that were delivered first or we spend more time reading our friends too.
\nIt's just a hint and my personal insight too.
\nMINI-GIANTS: \"SMALL\" LANGUAGE MODELS
\nAuthors: Zhengping Zhou, Lezhi Li, Xinxi Chen and Yuxi Li.
\nhttps://www.kaggle.com/code/mistylight/mini-giants-small-language-models/notebook
A PRIMER on AI ETHICS VIA arXiv- focus 2020-2023
\nAuthor: Roberto Lofaro
\nhttps://www.kaggle.com/code/robertolofaro/a-primer-on-ai-ethics-via-arxiv-focus-2020-2023
MACHINE UNLEARNING: The RIGHT TO BE FORGOTTEN
\nAuthors: Thanh Tam Nguyen, Hieu Nguyen, Vi Nguyen Thi Huong
\nhttps://www.kaggle.com/code/tamlhp/machine-unlearning-the-right-to-be-forgotten/notebook#Machine-Unlearning:-The-Right-to-be-Forgotten
Watch and Yearn: \"A variation of the common phrase \"watch and learn\", used when demonstrating an action so difficult and skillful that viewers would never be able to \"learn\" how to do it, simply \"yearn\" to one day be able to pull off such an act.\"
\nhttps://www.urbandictionary.com/define.php?term=Watch%20and%20yearn
I'm very glad to participate on this Kaggle competition.
\nAfter the last title, Me and my Insignifance have the right to be forgotten : )
Thanks for sharing this list @mpwolke ! While these papers are impressive, it seems like the Machine Unlearning paper was written prior to the competition, which can be easily seen with their github repo. Is this allowed? Also seems like the Mini Giants paper was primarily an academic paper and then submitted to this competition. Both seem to be more of a meta analysis more than addressing the specific prompt. The A PRIMER on AI ETHICS paper however, is much more consistent with the two year advancements prompt.
", "rawMarkdown": "Thanks for sharing this list @mpwolke ! While these papers are impressive, it seems like the *Machine Unlearning* paper was written prior to the competition, which can be easily seen with their github repo. Is this allowed? Also seems like the *Mini Giants* paper was primarily an academic paper and then submitted to this competition. Both seem to be more of a meta analysis more than addressing the specific prompt. The *A PRIMER on AI ETHICS* paper however, is much more consistent with the two year advancements prompt.", "votes": null }, { "id": "2339488", "postDate": "07/10/2023 20:02:00", "content": "Hi Jonathan,
\nthank you for pointing out those important details.
\nMaybe Kaggle team would say something about papers written prior AI Report 2023. Or academic papers.
\nPerhaps, in the future we have a Section for Academic papers too.
Anyway, my intention here was to call attention for beginners, since many times users don't spend time reading their work.
\nAnd Algorithms don't help too. Since any user that deliver their work near the end, very likely will go to the bottom of the list that will be read.
\nFortunately, on this Challenge kagglers should make reviews and consequently, read more.
\nThe new generation of kagglers is Not reading code as it used to be 3 years ago. We can notice that by number of views of any work.
Any high quality code that is published near the end will have less views. Cause kagglers are already gone to another competition. Besides, new young users are ( in general) lazy and don't scroll the list till the bottom to check what's new. Mostly, if it was delivered by any beginner.
\nThank you also for your support.
", "rawMarkdown": "Hi Jonathan,\n\nthank you for pointing out those important details.\nMaybe Kaggle team would say something about papers written prior AI Report 2023. Or academic papers.\nPerhaps, in the future we have a Section for Academic papers too.\n\nAnyway, my intention here was to call attention for beginners, since many times users don't spend time reading their work.\n\nAnd Algorithms don't help too. Since any user that deliver their work near the end, very likely will go to the bottom of the list that will be read.\n\nFortunately, on this Challenge kagglers should make reviews and consequently, read more.\nThe new generation of kagglers is Not reading code as it used to be 3 years ago. We can notice that by number of views of any work.\n\nAny high quality code that is published near the end will have less views. Cause kagglers are already gone to another competition. Besides, new young users are ( in general) lazy and don't scroll the list till the bottom to check what's new. Mostly, if it was delivered by any beginner.\n\nThank you also for your support.", "votes": null }, { "id": "2341220", "postDate": "07/12/2023 00:29:02", "content": "I couldn't agree more @mpwolke! There are a number of hidden gems in this competition, with Kagglers contributing diverse perspectives on the same topic. I am glad for this peer review and feedback period, as it is a time to relish a buffet of essays of various seasonings.
", "rawMarkdown": "I couldn't agree more @mpwolke! There are a number of hidden gems in this competition, with Kagglers contributing diverse perspectives on the same topic. I am glad for this peer review and feedback period, as it is a time to relish a buffet of essays of various seasonings.", "votes": null }, { "id": "2341223", "postDate": "07/12/2023 00:46:54", "content": "That's true Prakash, it's a great opportunity for all of us.
\nBesides, we can see more approaches on the Data Science field since this community used to be seen just as a \"site for Machine Learning Competitions\"
\nThank you and good luck on this Competition.
Hi Jonathan, I am one of the authors of \"Mini-Giants: \"Small\" Language Models\". Thanks for reading the report and providing feedback. The report is written for this competition, and we plan to polish it more and potentially publish for academic track in the future. I joined the team because I saw one of the authors post about the competition information in a random group chat, and I did not know the team leader before. I joined the team because I am interested in this topic, and I would like to take a look on how things look like in language model these days. That's being said, I know it is hard to form a team with responsible teammates, and I really thank that my teammates who are super responsible. And definitely, since this is a new team formed after this competition started, we as a team also debated a lot, including on how to reply to the different comments from Kaggle community :-)
", "rawMarkdown": "Hi Jonathan, I am one of the authors of \"Mini-Giants: \"Small\" Language Models\". Thanks for reading the report and providing feedback. The report is written for this competition, and we plan to polish it more and potentially publish for academic track in the future. I joined the team because I saw one of the authors post about the competition information in a random group chat, and I did not know the team leader before. I joined the team because I am interested in this topic, and I would like to take a look on how things look like in language model these days. That's being said, I know it is hard to form a team with responsible teammates, and I really thank that my teammates who are super responsible. And definitely, since this is a new team formed after this competition started, we as a team also debated a lot, including on how to reply to the different comments from Kaggle community :-)", "votes": null } ], "comments": [ { "id": 2338444, "author_name": "jonbown", "author_url": "", "post_date": "07/10/2023 19:07:08", "content": "Thanks for sharing this list @mpwolke ! While these papers are impressive, it seems like the Machine Unlearning paper was written prior to the competition, which can be easily seen with their github repo. Is this allowed? Also seems like the Mini Giants paper was primarily an academic paper and then submitted to this competition. Both seem to be more of a meta analysis more than addressing the specific prompt. The A PRIMER on AI ETHICS paper however, is much more consistent with the two year advancements prompt.
", "votes": null, "replies": [ { "id": 2339488, "author_name": "mpwolke", "author_url": "", "post_date": "07/10/2023 20:02:00", "content": "Hi Jonathan,
\nthank you for pointing out those important details.
\nMaybe Kaggle team would say something about papers written prior AI Report 2023. Or academic papers.
\nPerhaps, in the future we have a Section for Academic papers too.
Anyway, my intention here was to call attention for beginners, since many times users don't spend time reading their work.
\nAnd Algorithms don't help too. Since any user that deliver their work near the end, very likely will go to the bottom of the list that will be read.
\nFortunately, on this Challenge kagglers should make reviews and consequently, read more.
\nThe new generation of kagglers is Not reading code as it used to be 3 years ago. We can notice that by number of views of any work.
Any high quality code that is published near the end will have less views. Cause kagglers are already gone to another competition. Besides, new young users are ( in general) lazy and don't scroll the list till the bottom to check what's new. Mostly, if it was delivered by any beginner.
\nThank you also for your support.
", "votes": null, "replies": [] }, { "id": 2341469, "author_name": "xinxichen", "author_url": "", "post_date": "07/12/2023 06:12:19", "content": "Hi Jonathan, I am one of the authors of \"Mini-Giants: \"Small\" Language Models\". Thanks for reading the report and providing feedback. The report is written for this competition, and we plan to polish it more and potentially publish for academic track in the future. I joined the team because I saw one of the authors post about the competition information in a random group chat, and I did not know the team leader before. I joined the team because I am interested in this topic, and I would like to take a look on how things look like in language model these days. That's being said, I know it is hard to form a team with responsible teammates, and I really thank that my teammates who are super responsible. And definitely, since this is a new team formed after this competition started, we as a team also debated a lot, including on how to reply to the different comments from Kaggle community :-)
", "votes": null, "replies": [] } ] }, { "id": 2341220, "author_name": "gouriprakash", "author_url": "", "post_date": "07/12/2023 00:29:02", "content": "I couldn't agree more @mpwolke! There are a number of hidden gems in this competition, with Kagglers contributing diverse perspectives on the same topic. I am glad for this peer review and feedback period, as it is a time to relish a buffet of essays of various seasonings.
", "votes": null, "replies": [ { "id": 2341223, "author_name": "mpwolke", "author_url": "", "post_date": "07/12/2023 00:46:54", "content": "That's true Prakash, it's a great opportunity for all of us.
\nBesides, we can see more approaches on the Data Science field since this community used to be seen just as a \"site for Machine Learning Competitions\"
\nThank you and good luck on this Competition.