Articles for category: AI Tools

DevOps Made Simple: A Beginner’s Guide to Landing a DevOps Internship

Introduction Breaking into the world of DevOps can seem overwhelming, especially for beginners. With a mix of development and operations skills, DevOps professionals ensure that software runs smoothly and efficiently. But how do you land your first DevOps internship when you have little to no experience? In this guide, we’ll break down the step-by-step process to help you secure a DevOps internship, even if you’re just starting out. We’ll cover essential skills, tools, real-world applications, common mistakes, and best practices to get you job-ready. Step 1: Understand the Basics of DevOps Before applying for an internship, it’s crucial to understand

Deploying the AI Comic Factory using the Inference API

We recently announced Inference for PROs, our new offering that makes larger models accessible to a broader audience. This opportunity opens up new possibilities for running end-user applications using Hugging Face as a platform. An example of such an application is the AI Comic Factory – a Space that has proved incredibly popular. Thousands of users have tried it to create their own AI comic panels, fostering its own community of regular users. They share their creations, with some even opening pull requests. In this tutorial, we’ll show you how to fork and configure the AI Comic Factory to avoid

Tutorial 2: Swift Basics – Variables, Constants, and Data Types

Welcome to your first hands-on Swift tutorial! Today, we’re diving into variables, constants, and data types while building something useful (and hilarious) — a Fart Recorder App for iOS. This app will allow users to record, label, and play back their “masterpieces.” 🎤💨 By the end of this tutorial, you’ll understand • How to declare and use variables (var) and constants (let)• The difference between Strings, Integers, Doubles, and Booleans• How to work with arrays and dictionaries• Basic SwiftUI elements to build a simple UI ⸻ Step 1: Create a New SwiftUI Project Open Xcode. Select Create a new Xcode

Designing Practical NLP Solutions – Speaker Deck

Coming soon • spaCy v2.3: Models for Chinese, Japanese and many more • spaCy v3.0: Transformer-based pipelines, custom models using any library, new training workflow • Prodigy v1.10: Dependencies & relation annotation, audio & video annotation & lots of new features • Prodigy Teams: Manage large annotation projects in your cloud Source link

🧨 Accelerating Stable Diffusion XL Inference with JAX on Cloud TPU v5e

Generative AI models, such as Stable Diffusion XL (SDXL), enable the creation of high-quality, realistic content with wide-ranging applications. However, harnessing the power of such models presents significant challenges and computational costs. SDXL is a large image generation model whose UNet component is about three times as large as the one in the previous version of the model. Deploying a model like this in production is challenging due to the increased memory requirements, as well as increased inference times. Today, we are thrilled to announce that Hugging Face Diffusers now supports serving SDXL using JAX on Cloud TPUs, enabling high-performance,

The future is coming: how technology is making the world cooler!

This is a submission for the Future Writing Challenge: How Technology Is Changing Things. The future has arrived faster than we imagined and is full of innovations that can make our lives much easier, more fun and healthier. This is not science fiction, this is real technology! Get ready for a tour of the innovations that will transform the world into a cleaner, calmer and, of course, much safer place. Cleaner air: the city cleaning itself! Today, many cities have polluted air, filled with smoke from cars and factories. Not only is this bad for our health, but it also

An End to the Silent Performance Killer

A spectre is haunting chat models – the spectre of incorrect formatting! tl;dr Chat models have been trained with very different formats for converting conversations into a single tokenizable string. Using a format different from the format a model was trained with will usually cause severe, silent performance degradation, so matching the format used during training is extremely important! Hugging Face tokenizers now have a chat_template attribute that can be used to save the chat format the model was trained with. This attribute contains a Jinja template that converts conversation histories into a correctly formatted string. Please see the technical

The Lie of Free Data: My Experience with Common Crawl

Common Crawl claims its dataset is “freely available to anyone.”That sounds great — until you try to actually use it. Like many people interested in open data, I was excited when I first found out about Common Crawl. A massive archive of the web, updated regularly, free to access — what’s not to love? But the deeper I went, the more I realized something:This data might be free in theory, but in practice? It’s locked behind a wall of costs, infrastructure, and complexity. The Reality Check Here’s what I discovered when I tried to use Common Crawl: The files are