DATA

→ View original post on X — @esyudkowsky

Dataset Filtering for Large Language Model Training Runs

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@esyudkowsky

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09 April 2023 19h39

Possibly yes. More broadly, if we're going to be doing more large training runs at all, I'd guess we should start filtering the datasets soon (presumably using a previous-generation LLM finetuned for that?). It's hard to finetune out a cognition once it's learned by the base.

→ View original post on X — @fogoros

Data Lakes and Industrial IoT Key Takeaways Explained

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@fogoros

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09 April 2023 18h01

Want to dive deep into the world of #datalakes and #IIoT? Check out this article summarizing the key takeaways from the recent All Things IIoT Day session. http://
ow.ly/TpzV50NsCmV #sponsored #hitachivantara_iiot #datascience #industrialIoT @BigDataMinded @YvesMulkers via @fogoros

→ View original post on X — @craigbrownphd

GitHub CLI Cheat Sheet for Data Science Productivity

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@craigbrownphd

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09 April 2023 17h49

GitHub CLI for Data Science Cheat Sheet: The GitHub CLI is a tool that allows for interaction with the GitHub platform with the command line interface. Mastering the most-used commands will allow you to become a productive of a data science, data… https://
kdnuggets.com/2023/03/github
-cli-data-science-cheat-sheet.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=github-cli-for-data-science-cheat-sheet
…

→ View original post on X — @dair_ai

Segment Anything Model releases billion mask segmentation dataset

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@dair_ai

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09 April 2023 17h41

1/ Segment Anything Model – a set of resources for image segmentation; releases the largest segmentation dataset with over 1B masks on 11M licensed images; the model’s zero-shot performance is competitive with or superior to fully supervised results.https://t.co/sJvKhmeECe
— DAIR.AI (@dair_ai) 9 avril 2023

1/ Segment Anything Model – a set of resources for image segmentation; releases the largest segmentation dataset with over 1B masks on 11M licensed images; the model’s zero-shot performance is competitive with or superior to fully supervised results.

→ View original post on X — @alexjc

Copyright commercialization restrictions for AI training data

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@alexjc

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09 April 2023 16h46

Surface level solutions (which work today) would involve being more strict about commercialisation rights, e.g. in Copyright. If you train on web-scraped data, that's OK for research, personal use and non-profit only — but you *cannot* commercialize.

Find Jupyter Notebook Repository and Star It

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09 April 2023 15h00

Find Jupyter Notebook Don't forget to star the repo!

Daily Content on ML, NLP, Computer Vision and LLMs

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09 April 2023 15h00

That's a wrap! If you interested in: – Python – Data Science – Machine Learning – Maths for ML – MLOps – NLP – Computer Vision – LLMs I'm sharing daily content over here, follow me → @akshay_pachaar if you haven't already!! Cheers!!

DBSCAN Clustering: Automatic Density-Based Cluster Detection

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09 April 2023 15h00

Applying DBSCAN doesn't get easier Notice that we don't need to worry about number of clusters in the data, it's determined based on density! Check this out

DBSCAN Clustering Algorithm Explained Simply

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09 April 2023 14h59

Now all the points which are not outliers & within in eps reachability of each, become part of the same cluster. That's it, that's all that DBSCAN is about! Check this image