Create APIs, scheduled jobs, backend workflows, database CRUD - basically anything you need for your app's backend with BuildShip easily.
Start fast with templates or prebuilt nodes for popular tools, databases, but if anything is missing you can actually create a workflow node using AI by simply asking what you want. Every node is fully editable with AI and code.
Get the EASE of no-code with the POWER of low-code, if needed. Works with all the popular nocode frontend builders like FlutterFlow, Bubble, Webflow, Toddle, BravoStudio, Framer .....
BuildShip's answer
You can generate you own workflow nodes, edit the logic of prebuilt nodes, use AI assistant while building workflows. Ship scalably and affordably.
BuildShip's answer
Flexible and extensible to build your logic the way you want. Don't be black boxed by the platform to limit your ideas.
If you're working on your next big project and you want to save some of your precious time when integrating with third party services such as Twilio, OpenAI, Replicate, Stripe, and much, much more, then BuildShip is the obvious solution. Can't find an integration? That's easy, just generate it with AI.
This is truly a big leap in backend development, from building your backend in hours... to mere minutes! Super easy to use. It's incredibly user-friendly, offering a coding-like experience with the ease of customization in a no-code format! 🚀
Easy to integrate with any AI model, popular tools - makes building and automating backend tasks a breeze.
Based on our record, Apple Core ML should be more popular than BuildShip. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Today, we will show you exactly how to build this BuildShip's ready-made template for a quick start. BuildShip is a low-code visual backend builder powered by AI that lets you build a seemingly complex backend with ease. This template comes with prebuilt steps for removing background from an image, converting the image to black-and-white, and then uploading it to storage for use in the illusion diffusion model... - Source: dev.to / 8 months ago
On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 3 months ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
> It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
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