Articles for category: AI Tools

March 30, 2025

ikayaniaamirshahzad@gmail.com

How Smart Monitoring Automation Enhances Incident Management and Ensures Uptime

Remember the last major outage your team handled? The scramble to identify what failed, the frantic Slack messages, the pressure to restore service while executives demand updates? What if your systems could detect, diagnose, and even begin resolving issues before your customers notice anything wrong? That’s the promise of smart monitoring automation. Let’s dive into how it actually works and what it can do for your incident management process. What is Automated Incident Monitoring? Automated incident monitoring goes beyond basic health checks. It’s a comprehensive system that: ┌─────────────────────────────────────────────────┐ │ │ │ ┌─────────┐ ┌──────────┐ ┌────────────┐ │ │ │ Collect │───▶│ Analyze

March 30, 2025

ikayaniaamirshahzad@gmail.com

Refactor and modernize, spaCy v2.2 support, more features, 2019 vectors model & Prodigy recipes · explosion/sense2vec · GitHub

✨ New features and improvements Completely rewrite package from scratch. Replace built-in vector storage with spaCy’s Vectors, making this package a pure Python package and allowing easy out-of-the-box serialization of vectors. Add fully serializable spaCy pipeline component and extension attributes. Add new methods get_best_sense and get_other_senses and improve most_similar. Add script for precomputing index of nearest neighbors for super fast “most similar” queries. Add annotation recipes for Prodigy to easily create word lists and match patterns from similar phrases using sense2vec vectors (like the terms.teach recipe, just with multi-word expressions). New and more efficient training and preprocessing scripts using GloVe

March 30, 2025

ikayaniaamirshahzad@gmail.com

Fetch Cuts ML Processing Latency by 50% Using Amazon SageMaker & Hugging Face

This article is a cross-post from an originally published post on September 2023 on AWS’s website. Overview Consumer engagement and rewards company Fetch offers an application that lets users earn rewards on their purchases by scanning their receipts. The company also parses these receipts to generate insights into consumer behavior and provides those insights to brand partners. As weekly scans rapidly grew, Fetch needed to improve its speed and precision. On Amazon Web Services (AWS), Fetch optimized its machine learning (ML) pipeline using Hugging Face and Amazon SageMaker , a service for building, training, and deploying ML models with fully

March 30, 2025

ikayaniaamirshahzad@gmail.com

How I differentiate between padding and margin

Many times I used to get confused between padding and margin. This is how I now think about these two to have a clear distinction between them. Padding Padding is something I add to protect the content. Like foam packaging around a delicate item. It comes inside border. If we have a background color padding area gets background color too. Margin Margin is something I add to provide a distance between one box to otherLike fencing around a house. It keeps two boxes from touching each other.If we add background to the margin doesn’t get it Here is the link

March 30, 2025

ikayaniaamirshahzad@gmail.com

contextually-keyed word vectors · Explosion

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. That work is now due for an update. In this post, we present a new version of the library, new vectors, new evaluation recipes, and a demo NER project that we trained to usable accuracy in just a few hours. Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et. al, 2015) is a twist on the word2vec family of algorithms that lets you

March 30, 2025

ikayaniaamirshahzad@gmail.com

Spread Your Wings: Falcon 180B is here

Today, we’re excited to welcome TII’s Falcon 180B to HuggingFace! Falcon 180B sets a new state-of-the-art for open models. It is the largest openly available language model, with 180 billion parameters, and was trained on a massive 3.5 trillion tokens using TII’s RefinedWeb dataset. This represents the longest single-epoch pretraining for an open model. You can find the model on the Hugging Face Hub (base and chat model) and interact with the model on the Falcon Chat Demo Space. In terms of capabilities, Falcon 180B achieves state-of-the-art results across natural language tasks. It topped the leaderboard for (pre-trained) open-access models

March 30, 2025

ikayaniaamirshahzad@gmail.com

How to Create Excalidraw Animations with Excalidraw Smart Presentation

Preface Today, I will guide you step by step on how to create Excalidraw animations using the tool Excalidraw Smart Presentation. Excalidraw is likely familiar to many of you, with its unique hand-drawn style and the open-source community and ecosystem it fosters, attracting a large number of users. It has nearly 100K stars on GitHub, which is an impressive number! Creating static images with Excalidraw is quite easy, but animating them is relatively challenging. The tool we are introducing today, Excalidraw Smart Presentation, is designed to solve this problem and is also open-source. You can find the tool on our

March 30, 2025

ikayaniaamirshahzad@gmail.com

Efficient Controllable Generation for SDXL with T2I-Adapters

T2I-Adapter is an efficient plug-and-play model that provides extra guidance to pre-trained text-to-image models while freezing the original large text-to-image models. T2I-Adapter aligns internal knowledge in T2I models with external control signals. We can train various adapters according to different conditions and achieve rich control and editing effects. As a contemporaneous work, ControlNet has a similar function and is widely used. However, it can be computationally expensive to run. This is because, during each denoising step of the reverse diffusion process, both the ControlNet and UNet need to be run. In addition, ControlNet emphasizes the importance of copying the UNet encoder as

March 30, 2025

ikayaniaamirshahzad@gmail.com

A sleek solidity cheatsheet – DEV Community

part 1 of a 5 part series on essentials for solidity devs solidity_cheatsheet.sol cryptography_cheatsheet.sol assembly_cheatsheet.sol designPatterns_cheatsheet.sol security_cheatsheet.sol It compiles! Get the full cheatsheet here. Drop a star if you find this useful, it will motivate me to do more of it. table of contents basics license pragma imports contract events constructor receive modifier functions symbols variables control sturctures units block msg tx intermediate OOPs library custom errors fallback variable passing value types reference types type conversion datatype builtins fringe arithmetic advanced function signatures and selectors abi encoding low level calls error handling bit operations bitmasking license copyleft: ensure that the