Follow us @DVCorg! โญ out new project - https://xitter.cf/t.co/D1Gfy7yi3j

San Francisco, CA
Joined April 2019
Iterative.ai retweeted
๐Ÿ”— DataChain open-source release ๐Ÿค– AI-Driven Data Curation: Local models, LLM APIs ๐Ÿš€ GenAI Dataset scale: Millions and billions of files ๐Ÿ Python-friendly: Python objects instead of JSON Try it out github.com/iterative/datachaโ€ฆ ๐Ÿ‘‡1/7
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๐ŸŽค๐Ÿš€ Exciting news! I'll be presenting at MLOps World / GenAI Summit today! ๐Ÿ•ฆ At 11:30am, join me for a fun-filled session on the ins and outs of data versioning in GenAI. Don't miss out! ๐ŸŽ‰๐Ÿ“ˆ
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Iterative.ai retweeted
Looking to get into #MLOps ? Check out our hands-on tutorial on using @DVCorg to manage structured and reproducible machine learning projects. DVC works side by side with #Git to enable our team to work incrementally, in a collaborative and robust way. ridgerun.ai/post/a-practicalโ€ฆ
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Iterative.ai retweeted
๐Ÿ“Š Maximizing Model Efficiency with DVC! ๐Ÿš€ Curious about fine-tuning the Llama-2 model on a budget? @alex000kim reveals his secrets, with DVC ensuring reproducibility without hefty expenses. iterative.ai/blog/finetune-lโ€ฆ
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In beautiful Vancouver for #CVPR2023 Reach out to me if you're around
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Every day hitting new milestones! ๐Ÿš€
We are excited to be among the MLOps companies mentioned by @nvidia Link to the Keynote by the CEO Jensen Huang - youtu.be/i-wpzS9ZsCs
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Join next week for a couple of talks in @code_europe about Transformers in Translation context and DVC Extension. ๐‘Š๐‘–๐‘กโ„Ž ๐‘š๐‘ฆ ๐ต๐‘Ÿ๐‘Ž๐‘–๐‘› ๐‘Ž๐‘›๐‘‘ โ„Ž๐‘’๐‘Ž๐‘Ÿ๐‘ก...๐‘๐‘ข๐‘ก ๐‘š๐‘œ๐‘ ๐‘ก๐‘™๐‘ฆ, ๐‘ค๐‘–๐‘กโ„Ž ๐‘š๐‘ฆ ๐‘œ๐‘ค๐‘› ๐‘ฃ๐‘œ๐‘–๐‘๐‘’. codeeurope.pl/en/
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Iterative.ai retweeted
This is a short and concise video that shows us how we can now size all of our plots. You can now view multiple plots in a row, adjust to see four compared to each other in a larger format, and even fully zoom on those computer vision images. Link - youtu.be/s1eFyaxa8pM
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Iterative.ai retweeted
Meme Friday!!! @GrunerMonzon gives a detailed explanation of Developing Machine learning Projects with DVC. This is one of the best articles on MLOps you will find out there. lnkd.in/dZMSc73u
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Iterative.ai retweeted
Are you familiar with the DVC Extension for Visual Studio Code? Have you ever used it in your work or project?
36%Yes
42%No
22%I haven't heard of that
50 votes โ€ข Final results
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Iterative.ai retweeted
What is your favourite IDE/Code Editor for Machine Learning? 1. Jupyter Lab/Notebook 2. R Studio 3. Pycharm 4. VS Code 5. Spyder 6. Others(name it)
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We are proud to introduce DVC Cloud Versioning today! Many thanks to @pmrowla and @DavidBerenbaum1 for this great work! ๐Ÿ™๐Ÿผ๐Ÿš€
Is your cloud storage a hot mess? ๐Ÿงต1/4
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Live now: Rob De Wit shows how to use @DVCorg for moving from notebooks to production: - Parameterize a Jupyter Notebook - Transform it into a DVC pipeline - Run & track experiments with DVC - Train models with CML Watch here: youtube.com/watch?v=t92ISBh4โ€ฆ
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Iterative.ai retweeted
Woah! Been here? Is deep learning model training going horribly wrong? ๐Ÿ™‹๐Ÿฝโ€โ™‚๏ธ Iterative Studio makes this easy to see so you don't waste time and resources! ๐Ÿงตย 1/7
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๐Ÿš€ Another great tutorial from the MLEM team - this time using #ChatGPT and @streamlit ๐Ÿ”ฅ
Another example why open source software is great! You can train your own little #ChatGPT model in a couple of minutes using @modal_labs and then deploy it as a @streamlit app to @flydotio via MLEM.ai. More in this blogpost by yours truly iterative.ai/blog/mlem-nanogโ€ฆ
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Iterative.ai retweeted
๐Ÿฆ‰Deploy ML models straight from @ProjectJupyter Notebooks with @1aguschin and translate ๐ŸŽถ song lyrics ๐ŸŽถ into emojis Can you guess these? ๐Ÿ‘ค ๐Ÿ‘€ ๐ŸŒฒ ๐ŸŸข, ๐ŸŒน ๐Ÿ’โ€โ™‚๏ธ ๐Ÿ‘ค ๐Ÿ‘€ ๐Ÿ‘ซ ๐ŸŒธ, ๐Ÿ‘ค & ๐Ÿ‘† & ๐Ÿ‘ค ๐Ÿ’ญ ๐Ÿ‘ค -โ” ๐Ÿ˜„ ๐ŸŒ #DEVCommunity dev.to/aguschin/deploying-mlโ€ฆ
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Iterative.ai retweeted
I have a ChatGPT joke, but it's at capacity right now. #ChatGPT @DataScienceHarp
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DVCโ€™s built-in data caching lets us implement a simple and efficient storage layer globally This approach helps to: โšก๏ธ Speed up data transfers ๐Ÿ’ฐ Pay only for fast access ๐Ÿชž Avoid duplication ๐Ÿ”€ Switch data inputs quickly @DVCorg @iterativeai #mlops #caching #data ๐Ÿงต[1/6]
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๐Ÿ”€ Switch data inputs quickly Switch data inputs quickly (without re-downloading) on a shared server used for machine learning experiments. ๐Ÿงต[5/6]
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โค๏ธ Thanks for reading To know more about Data Caching Hub, head on to our documentation dvc.org/doc/start/experimentโ€ฆ ๐Ÿงต[6/6]
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