🔗 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 https://t.co/CjY1NTDxRD
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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! 🎉📈
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.
https://t.co/F6zo37uiCV
📊 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.
https://t.co/4xIXvrklDk
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.
https://t.co/kyD8GXdaCv
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 - https://t.co/aTkDgoteiy
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.
https://t.co/o8ibE4hnRj
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: https://t.co/r24ClVgFmA
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!
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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 https://t.co/xeGu5AMUD7. More in this blogpost by yours truly https://t.co/LbpX7StiRH
🦉Deploy ML models straight from @ProjectJupyter Notebooks with @1aguschin and translate 🎶 song lyrics 🎶 into emojis
Can you guess these?
👤 👀 🌲 🟢, 🌹 💁♂️
👤 👀 👫 🌸, 👤 & 👆
& 👤 💭 👤 -❔ 😄 🌏
#DEVCommunity https://t.co/U9uFraiubx