Articles for category: AI Tools

March 30, 2025

ikayaniaamirshahzad@gmail.com

Building an AI WebTV

The AI WebTV is an experimental demo to showcase the latest advancements in automatic video and music synthesis. 👉 Watch the stream now by going to the AI WebTV Space. If you are using a mobile device, you can view the stream from the Twitch mirror. Concept The motivation for the AI WebTV is to demo videos generated with open-source text-to-video models such as Zeroscope and MusicGen, in an entertaining and accessible way. You can find those open-source models on the Hugging Face hub: The individual video sequences are purposely made to be short, meaning the WebTV should be seen

March 30, 2025

ikayaniaamirshahzad@gmail.com

From Rejection to Relaunch: Turning Setbacks into Opportunities with AWS Community Builders

Have you faced rejection from the AWS Community Builders program, not once, not twice, but four times? You’re not alone. Many aspiring community builders have faced similar setbacks, but it’s how we respond that matters. Rejection can be disheartening, but it’s essential to remember that it’s not a reflection of your worth or potential. Instead, it’s an opportunity to learn, grow, and refine your approach. Why AWS Community Builders MattersThe AWS Community Builders program is a prestigious initiative that empowers community leaders to build, educate, and inspire others in the AWS ecosystem. Being part of this program can: Amplify Your

March 30, 2025

ikayaniaamirshahzad@gmail.com

spaCy IRL 2019 · Two days of NLP in Berlin

On July 4 and 5, 2019, the days before the conference, we’ll also be holding a training day for teams using spaCy in production. Over the course of the day, you’ll learn more about constructing custom end-to-end pipelines, training more accurate models for specific domains, and scaling spaCy for large text analytics workloads. The training day will consist of 7 hours of hands-on instruction from Matthew Honnibal and Ines Montani, spaCy’s core developers. The day will be aimed towards people already familiar with the library. This isn’t an introductory session where we rehash content you can find in the docs.

March 30, 2025

ikayaniaamirshahzad@gmail.com

Open-Source Text Generation & LLM Ecosystem at Hugging Face

[Updated on July 24, 2023: Added Llama 2.] Text generation and conversational technologies have been around for ages. Earlier challenges in working with these technologies were controlling both the coherence and diversity of the text through inference parameters and discriminative biases. More coherent outputs were less creative and closer to the original training data and sounded less human. Recent developments overcame these challenges, and user-friendly UIs enabled everyone to try these models out. Services like ChatGPT have recently put the spotlight on powerful models like GPT-4 and caused an explosion of open-source alternatives like Llama to go mainstream. We think

March 30, 2025

ikayaniaamirshahzad@gmail.com

Your Next.js website might be hacked, ChatGPT-4o Image Generation, State of Vue.js 2025, and more

Hello JavaScript Enthusiasts! Welcome to a new edition of “This Week in JavaScript“! Today, we’re covering a critical Next.js security patch you can’t afford to miss, OpenAI’s revolutionary 4o Image Generation, and Vue.js’s impressive growth stats—plus exciting new tools that’ll supercharge your development workflow! Next.js Middleware Security Vulnerability Next.js just patched a critical vulnerability (CVE-2025-29927) affecting all self-hosted applications with output: ‘standalone’. Why It Matters: Authentication Bypass: Attackers could completely skip middleware-based authorization checks All Versions Affected: Every major version prior to the patches requires updates Simple Exploit: Using a spoofed header allows bypassing all security middleware If you’re running

March 30, 2025

ikayaniaamirshahzad@gmail.com

spaCy and Explosion: past, present & future

What’s next? spaCy v3.0 Vision for spaCy • focus on data structures and pipeline • build support for new tasks even if we don’t have a model • make sure it’s easy to BYO model • keep shipping good defaults What’s out-of-scope? • anything generative: summarization, machine translation, etc. • multi-modal: audio, video, etc. • research assistance: plenty of good frameworks for developing novel techniques • morphological features • entity linking • non-entity span tagging • static analysis of processing pipeline and its components Source link

March 30, 2025

ikayaniaamirshahzad@gmail.com

Llama 2 is here – get it on Hugging Face

Llama 2 is a family of state-of-the-art open-access large language models released by Meta today, and we’re excited to fully support the launch with comprehensive integration in Hugging Face. Llama 2 is being released with a very permissive community license and is available for commercial use. The code, pretrained models, and fine-tuned models are all being released today 🔥 We’ve collaborated with Meta to ensure smooth integration into the Hugging Face ecosystem. You can find the 12 open-access models (3 base models & 3 fine-tuned ones with the original Meta checkpoints, plus their corresponding transformers models) on the Hub. Among

March 30, 2025

ikayaniaamirshahzad@gmail.com

The Detailed Execution Pipeline of .NET

.NET is a powerful framework that enables developers to build a wide range of applications, from web and desktop to cloud and mobile. To truly understand how .NET applications run, it’s essential to explore the execution pipeline that transforms source code into a running application. This blog provides an in-depth yet easy-to-understand breakdown of the .NET execution pipeline. 1. Writing and Compiling the Source Code Everything starts with writing the source code using languages like C#, F#, or VB.NET. This code is then compiled using the respective language compiler (e.g., Roslyn for C#). Compilation Process: The compiler converts the source

March 30, 2025

ikayaniaamirshahzad@gmail.com

Happy 1st anniversary 🤗 Diffusers!

🤗 Diffusers is happy to celebrate its first anniversary! It has been an exciting year, and we’re proud and grateful for how far we’ve come thanks to our community and open-source contributors. Last year, text-to-image models like DALL-E 2, Imagen, and Stable Diffusion captured the world’s attention with their ability to generate stunningly photorealistic images from text, sparking a massive surge of interest and development in generative AI. But access to these powerful models was limited. At Hugging Face, our mission is to democratize good machine learning by collaborating and helping each other build an open and ethical AI future together.