Now you can train Dreambooth using AutoTrain with custom parameters! Train any stable diffusion model on the hub on your own dataset with your own parameters using AutoTrain Dreambooth. Check it out here: https://
huggingface.co/spaces/autotra
in-projects/dreambooth
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AutoTrain Dreambooth: Custom Parameters for Stable Diffusion Training
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Google Colab UI popup interaction issue reported
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@GoogleColab Ok i'm satisfied with google colab but i can't remove the popup because i can't click on the cross or an option because it select what there's behind the form… Just saying -
Detecting AI-generated content in collaborative production tools
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comment identifier qu'un contenu est fait par l'AI sachant qu'ils vont être integré dans chaque outil de production et que chaque intermédiaire travaillant sur un projet peu y avoir ajoute de l'AI ou pas ? ex un doc word ou excel. On ne demande pas a ce que les images ou video
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Data Science Developers AI IoT 5G Technology Topics
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#DataScience #Developers #DEVCommunity #AI #IoT #5G
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Automated Task Creation with External Termination Control
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It creates new tasks and the end of each task. All termination is external to the code.
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Task-Result Pairs Storage Using Pinecone Vector Database
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Yeah task/result pairs are stored in pinecone and pulled in for context
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Developer convinced about code cleaning practices
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Took me some reading/thinking/talking but I’m convinced. Cleaning code!
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User explores Pinecone vector database for AI applications
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Haven’t tried em. Started w pinecone because i heard their name most often and wanted to try it.
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Balancing AI Context Window Size and Summarization Strategies
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It’s a balance of figuring out how much past context you want to pull in. If you pull zero, it stays within limit easily but no prev context. If you pull 5, you get decent context but it can get large. So then you can consider adding a summary step. pic.twitter.com/1jN3J8DMQI
— Yohei (@yoheinakajima) 3 avril 2023It’s a balance of figuring out how much past context you want to pull in. If you pull zero, it stays within limit easily but no prev context. If you pull 5, you get decent context but it can get large. So then you can consider adding a summary step.