The beautiful thing about marketing is that you just need to be in front of the right eyes at the right time. Here’s a checklist to get started 👇 And for getting even more inspired, here’s a conference to attend: https://t.co/S78qVi3Pzc. #GlobalMarketingDay https://t.co/VDRlpfIKiL
“It’s just an OpenAI/ChatGPT wrapper” is the new “It’s just an AWS wrapper” that would have made you miss a generation of cloud-native companies. AI-native is the new cloud-native.
Top of my TypeScript wishlist is inferring types in parent/child relationships in JSX. I have no idea how this would be implemented, but it would be SWEET. https://t.co/dtk4WdvEiN
📯 Welcome to @code January update. Here are some highlights for the first release of 2023: 🎭 Profiles to create and share customization 🔐 Marketplace extension signing ⌨️ Improved terminal accessibility Release notes: https://t.co/ZK7JpG3Bko Download: https://t.co/gl2xGCOIXU https://t.co/8I60kwyqYW
MultiRay is Meta’s platform for efficiently running large-scale, state-of-the-art AI models. By converting input to an embedding that’s cached & shared between users, MultiRay greatly reduces complexity & energy use.
Hey Guys, I exceeded my dm limit. Here is the link to download for free: https://t.co/LFfLXLTHHS
⏳ We're starting in 10! We're replaying a favorite episode today, Setting up C++ in VS Code with Julie Reed. Check it out https://t.co/f2jEww6FKF. We'll be back next Thursday with the first 🎈 Release Party 🎈 of 2023! @burkeholland @OliviaGuzzardo @ReynaldAdolphe #vscode https://t.co/b6knod7x12
The best part of our job https://t.co/JhwjgfHWFt
📣 Get ready for GopherCon Israel 2023! 📆 February 7th Learn all about the latest updates in Go, why generics are a Gopher's best friend, bottlenecks in memory management, and much more. Full details ⬇ https://t.co/Ps7EjF4VIt
Build Android Aliens in the new #MADSkills blog 👾 You'll learn how layouts and modifiers work together, what out-of-the-box APIs Compose offers, and how to beautifully style your UI - all this while building a screen for a mini pixelated game! → https://t.co/htgMyOX3bs https://t.co/Y1Rcdit5wo
Building #MachineLearning systems is hard. Some of the components you need: 1. Data sources 2. Data pipelines 3. Feature stores 4. Model training 5. Model evaluation 6. Model deployment 7. Model monitoring 8. Predictions API 🌟➡️ @AbacusAI can help you with all this and #MLOps https://t.co/ovsKZDm8jm
New to Kotlin? Please tell us more about how you got started with the language. Share your experience in this survey and get a chance to win a $100 Amazon Gift Card or a 1-year All Products Pack subscription 👉 https://t.co/zxJf2knzlF https://t.co/sYCOFqt3G2
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