AICamp

So excited that GDG DevFest 2022 is coming back in-person in Seattle on Nov 19th!
Join us a day of learning as a community with tech talks on AI, ML, Android, and career development. A few highlighted talks:
✅ MLOps, by Valliappa Lakshmanan
✅ ML Observability, by Alessya Visnjic
✅ Firebase 101, by William Shelor
✅ and more

🎁🎉 Free lunch, fun activities, many give-aways and prizes!

⏰ Nov 19th, 10AM PST
📌 RSVP:

GDG DevFest Seattle 2022 AICamp: Learn and practice AI/ML from anywhere any time with webinars, workshops and courses.

Check out latest article in AI/ML Developers Weekly #10 : ✅AlphaFold expands to 200+ million protein structures; ✅ Stable diffusion customizes image generation pipeline; ✅ML education program at Uber; ✅upcoming learning events.

AI/ML Developers Weekly #10 Hey Everyone, in this issue, we will discuss AlphaFold, ML education program at Uber, stable diffusion by Hugging Face, and upcoming learning events. [🧠 Breakthrough] AlphaFold reveals the structure of the protein universe.

Check out latest article in AI/ML Developers Weekly #6 : 175-billion-parameter language model by Meta AI, new ML platform at Shopify, feature store open sourced by LinkedIn and upcoming learning events.

AI/ML Developers Weekly #7 Hey Everyone, in this issue, we will discuss 175-billion-parameter language model by Meta AI, new ML platform at Shopify, feature store open sourced by LinkedIn and upcoming learning events. [🧠 Breakthrough] Democratizing access to large-scale language models with OPT-175B Meta AI is sharing OPT-...

Join the ML Data Engineering Conference (virtual and in-person).
It is geared for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world. Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications. Everything is on the table from managing labeling pipelines, to transforming features in real-time, and serving at scale.

Topics:
• Best practices development patterns
• Tooling and infrastructure of choice
• Managing labeling pipelines
• Transforming and serving features in real-time
• Serving at scale

Agenda includes:
* 40+ deep dive live tech talks
* 4 Hands-on workshops/tutorials
* Networking with speakers/attendees
* Post-event social (in-person) in NYC and San Francisco
* food, swags and prizes
⏰ May 18th, 9AM PT | 12PM ET | 4PM GMT

apply(conf)- The ML Data Engineering Conference AICamp: Learn and practice AI/ML from anywhere any time with webinars, workshops and courses.