🌟 Join the AI Summer Camp 🌟 Level up your #AI skills this summer with our exclusive 5-part training series brought to you by Canonical experts from August 5-9. In our second episode, we dive into the world of 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 (𝐌𝐋𝐎𝐩𝐬) where you can learn about: - Production-grade MLOps - Open-source MLOps - Community-driven ML tooling - Kubeflow vs MLFlow; Pros and Cons --------- Canonical's AI Summer Camp includes: 1️⃣ How to Build LLMs with Open Source? (https://lnkd.in/dKETtH8d) > 2️⃣ 𝐊𝐮𝐛𝐞𝐟𝐥𝐨𝐰 𝐕𝐒 𝐌𝐋𝐟𝐥𝐨𝐰 3️⃣ Vector Databases for Generative AI Applications (https://lnkd.in/d9MpmSB5) 4️⃣ AI on Public Cloud with Open Source (https://lnkd.in/d4U3ZWqv) 5️⃣ AI on Private Cloud - Why is it Relevant in the Hyperscalers Era? (https://lnkd.in/du-Z9r2K) Join us for the AI Summer Camp and make part of your holiday a learning opportunity. #AISummerCamp #MLOps #OpenSource #Canonical
AI Summer Camp. Episode 2: Kubeflow VS MLflow
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Good day everyone! ☀ Welcome to the second episode of our AI Summer Camp. Thank you for joining!
can we get the record later
i am Addis from Ethiopia .Greeting to everyone
Hello, what is the difference between running ML/AI models through schedulers and serving them in real-time?
I am Juan Villa from Colombia. Greetings to everyone
In addition to how informative the webinar was, I love Maciej's precise answers.
I am Priscilla from Ghana
Thank you for the session, this has been a very good one
If you are interested in learning more about MLOps, explore our MLOps toolkit: https://ubuntu.com/engage/mlops-toolkit Thank you for joining us today!