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Follow us @DVCorg! ⭐ out new project - https://xitter.gq/t.co/D1Gfy7yi3j

San Francisco, CA
Joined April 2019
Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)Photo by Iterative.ai (@Iterativeai)
Iterative.ai retweeted
🔗 DataChain open-source release 🤖 AI-Driven Data Curation: Local models, LLM APIs 🚀 GenAI Dataset scale: Millions and billions of files 🐍 Python-friendly: Python objects instead of JSON Try it out github.com/iterative/datacha… 👇1/7
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🎤🚀 Exciting news! I'll be presenting at MLOps World / GenAI Summit today! 🕦 At 11:30am, join me for a fun-filled session on the ins and outs of data versioning in GenAI. Don't miss out! 🎉📈
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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-practical…
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Iterative.ai retweeted
📊 Maximizing Model Efficiency with DVC! 🚀 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-l…
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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! 🚀
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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Iterative.ai retweeted
Join next week for a couple of talks in @code_europe about Transformers in Translation context and DVC Extension. 𝑊𝑖𝑡ℎ 𝑚𝑦 𝐵𝑟𝑎𝑖𝑛 𝑎𝑛𝑑 ℎ𝑒𝑎𝑟𝑡...𝑏𝑢𝑡 𝑚𝑜𝑠𝑡𝑙𝑦, 𝑤𝑖𝑡ℎ 𝑚𝑦 𝑜𝑤𝑛 𝑣𝑜𝑖𝑐𝑒. 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 • 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! 🙏🏼🚀
Is your cloud storage a hot mess? 🧵1/4
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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=t92ISBh4…
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Iterative.ai retweeted
Woah! Been here? Is deep learning model training going horribly wrong? 🙋🏽‍♂️ Iterative Studio makes this easy to see so you don't waste time and resources! 🧵 1/7
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🚀 Another great tutorial from the MLEM team - this time using #ChatGPT and @streamlit 🔥
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-nanog…
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Iterative.ai retweeted
🦉Deploy ML models straight from @ProjectJupyter Notebooks with @1aguschin and translate 🎶 song lyrics 🎶 into emojis Can you guess these? 👤 👀 🌲 🟢, 🌹 💁‍♂️ 👤 👀 👫 🌸, 👤 & 👆 & 👤 💭 👤 -❔ 😄 🌏 #DEVCommunity dev.to/aguschin/deploying-ml…
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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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DVC’s built-in data caching lets us implement a simple and efficient storage layer globally This approach helps to: ⚡️ Speed up data transfers 💰 Pay only for fast access 🪞 Avoid duplication 🔀 Switch data inputs quickly @DVCorg @iterativeai #mlops #caching #data 🧵[1/6]
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🔀 Switch data inputs quickly Switch data inputs quickly (without re-downloading) on a shared server used for machine learning experiments. 🧵[5/6]
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❤️ Thanks for reading To know more about Data Caching Hub, head on to our documentation dvc.org/doc/start/experiment… 🧵[6/6]
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