Articles for category: AI Tools

March 29, 2025

ikayaniaamirshahzad@gmail.com

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

In the world of web development, turning designs into functional websites usually involves a lot of coding and careful testing. What if we could simplify this process, making it possible to convert web designs into working websites more easily and quickly? WebSight is a new dataset that aims at building AI systems capable of transforming screenshots to HTML code. The challenge Turning a website design or screenshot into HTML code usually needs an experienced developer. But what if this could be more efficient? Motivated by this question, we investigated how vision-language models (VLMs) could be used in web development to

March 29, 2025

ikayaniaamirshahzad@gmail.com

Vibe Coding: The pretext to system failure

Back to the internet – A lot of advances have been made in software engineering, especially coding; AI has sent shock waves to the entire ecosystem with computer assisted coding. In fact, a lot of CEOs speculate by the year 2026 90% of code will be AI generated, I doubt this. Lets go back to the basic principle of LLMs (Large Language Models) – data. Large language models spool out data based on data they have learnt from over time. This is data crawled over the internet. Computer programming is not a straightforward field, when it involves fulfilling the customer’s

March 29, 2025

ikayaniaamirshahzad@gmail.com

Easily Train Models with H100 GPUs on NVIDIA DGX Cloud

Today, we are thrilled to announce the launch of Train on DGX Cloud, a new service on the Hugging Face Hub, available to Enterprise Hub organizations. Train on DGX Cloud makes it easy to use open models with the accelerated compute infrastructure of NVIDIA DGX Cloud. Together, we built Train on DGX Cloud so that Enterprise Hub users can easily access the latest NVIDIA H100 Tensor Core GPUs, to fine-tune popular Generative AI models like Llama, Mistral, and Stable Diffusion, in just a few clicks within the Hugging Face Hub. GPU Poor No More This new experience expands upon the

March 29, 2025

ikayaniaamirshahzad@gmail.com

CREATING AND CONNECTING TO A LINUX VM USING PUBLIC KEY

To create and connect a Linux VM; Sign in to Azure portal STEP 1: Create a Virtual Machine STEP 2: Select the VM– Choose the VM you want to attach the data disk to from the “Virtual Machines’ blade Continue filling the boxes Continue filling the boxes Click on “review and create” ![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8do7lfezs17sg9j1tt5z.pn click on “create” click on “download the Private/public key” Deployment is successful, go to “resource” Source link

March 28, 2025

ikayaniaamirshahzad@gmail.com

Creative roundup: avatars, lightsabers, and LoRA tricks

There has never been a more exciting time to play around with AI. Every week, new models drop, unexpected use cases emerge, and people push boundaries in ways that are equal parts strange and delightful. Here are some highlights of the coolest things happening — new models you can try, creative experiments from the community, and novel creations. ShieldGemma 2 is a powerful new model that detects NSFW (“not safe for work”) content, violent material, and unsafe instructions with high accuracy. It’s the first DeepMind model of its kind on Replicate, and a useful tool for building safer AI experiences

March 28, 2025

ikayaniaamirshahzad@gmail.com

a PyTorch quantization backend for Optimum

Quantization is a technique to reduce the computational and memory costs of evaluating Deep Learning Models by representing their weights and activations with low-precision data types like 8-bit integer (int8) instead of the usual 32-bit floating point (float32). Reducing the number of bits means the resulting model requires less memory storage, which is crucial for deploying Large Language Models on consumer devices. It also enables specific optimizations for lower bitwidth datatypes, such as int8 or float8 matrix multiplications on CUDA devices. Many open-source libraries are available to quantize pytorch Deep Learning Models, each providing very powerful features, yet often restricted

March 28, 2025

ikayaniaamirshahzad@gmail.com

Top 5 Node ORMs to Learn in 2025

If you’re looking for the best Node.js ORMs to learn in 2025, here are the top five, ranked based on their popularity, feature set, and ecosystem support: 1. Prisma Why Learn? Modern, type-safe, and developer-friendly ORM with excellent TypeScript support. Key Features: Auto-generated, type-safe queries Supports PostgreSQL, MySQL, SQLite, MongoDB, and CockroachDB Built-in migrations and database schema management Great for Next.js and serverless applications Best For: TypeScript developers, modern full-stack apps, and projects needing strong database abstraction. 2. Sequelize Why Learn? The most established ORM for SQL databases in Node.js. Key Features: Supports PostgreSQL, MySQL, MariaDB, SQLite, and MSSQL Promise-based

March 28, 2025

ikayaniaamirshahzad@gmail.com

a new approach for span labeling · Explosion

The SpanCategorizer is a spaCy component that answers the NLP community’s need to have structured annotation for a wide variety of labeled spans, including long phrases, non-named entities, or overlapping annotations. In this blog post, we’re excited to talk more about spancat and showcase new features to help with your span labeling needs! A large portion of the NLP community treats span labeling as an entity extraction problem. However, these two are not the same. Entities typically have clear token boundaries and are comprised of syntactic units like proper nouns. Meanwhile, spans can be arbitrary, often consisting of noun phrases