Articles for category: AI Tools

March 30, 2025

ikayaniaamirshahzad@gmail.com

spaCy and the future of multi-lingual NLP

The bad More competitive • “winning” a shared task could be worth millions (fame and future salary) • few researchers care about the languages More expensive • experiments now cost a lot to run (especially GPU) • results are unpredictable • pressure to run fewer experiments on fewer datasets Faster moving, less careful • huge pressure to publish • volume of publications makes reviewing more random • dynamics promote incremental work Source link

March 30, 2025

ikayaniaamirshahzad@gmail.com

Pay with your AWS Account

The Hugging Face Hub has landed on the AWS Marketplace. Starting today, you can subscribe to the Hugging Face Hub through AWS Marketplace to pay for your Hugging Face usage directly with your AWS account. This new integrated billing method makes it easy to manage payment for usage of all our managed services by all members of your organization, including Inference Endpoints, Spaces Hardware Upgrades, and AutoTrain to easily train, test and deploy the most popular machine learning models like Llama 2, StarCoder, or BERT. By making Hugging Face available on AWS Marketplace, we are removing barriers to adopting AI

March 30, 2025

ikayaniaamirshahzad@gmail.com

A Software Engineer’s 2-Day Learning Project.Next.js, Zustand, and WebSockets: My Open-Source Instagram Clone Built in 48 Hours

Hi Dev community ,As a software engineer, I love pushing my skills with challenging projects. Two months ago, I set out to build a fully functional Instagram clone from scratch in just two days. The result? A web app with core social media features, real-time functionality, and even online games for users to play—all open-sourced on GitHub! Here’s a quick rundown of the project and what I learned along the way. The Tech Stack Frontend: Next.js (for SSR and a smooth dev experience) +Zustand (for state management). Backend: Node.js with Express (handling APIs and WebSocket integration). Database: MongoDB (flexible schemas

March 30, 2025

ikayaniaamirshahzad@gmail.com

Introducing SafeCoder

Today we are excited to announce SafeCoder – a code assistant solution built for the enterprise. The goal of SafeCoder is to unlock software development productivity for the enterprise, with a fully compliant and self-hosted pair programmer. In marketing speak: “your own on-prem GitHub copilot”. Before we dive deeper, here’s what you need to know: SafeCoder is not a model, but a complete end-to-end commercial solution SafeCoder is built with security and privacy as core principles – code never leaves the VPC during training or inference SafeCoder is designed for self-hosting by the customer on their own infrastructure SafeCoder is

March 30, 2025

ikayaniaamirshahzad@gmail.com

Google Sheets Integration with Python: A Step-by-Step Guide

Google Sheets is a powerful cloud-based tool that allows users to store and analyze data collaboratively. Integrating Google Sheets with Python opens up endless automation possibilities, from data entry and report generation to real-time updates. In this guide, we’ll walk through the entire process of integrating Google Sheets with Python using the gspread library. Why Integrate Google Sheets with Python? Automate Data Entry: Update sheets automatically from scripts. Analyze Data: Fetch data for further processing. Generate Reports: Write results directly to a shared sheet. Real-time Collaboration: Keep teams updated with real-time data. Step 1: Enable Google Sheets API To interact

March 30, 2025

ikayaniaamirshahzad@gmail.com

spaCy meets Transformers – Speaker Deck

Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every Natural Language Processing leaderboard. However, these models are very new, and most of the software ecosystem surrounding them is oriented towards the many opportunities for further research that they provide. In this talk, I’ll describe how you can now use these models in spaCy, a popular library for putting Natural Language Processing to work on real problems. I’ll also discuss the many opportunities that new transfer learning technologies can offer production NLP, regardless of which specific software packages you choose to get

March 30, 2025

ikayaniaamirshahzad@gmail.com

An Open Reproduction of State-of-the-art Visual Langage Model

We are excited to release IDEFICS (Image-aware Decoder Enhanced à la Flamingo with Interleaved Cross-attentionS), an open-access visual language model. IDEFICS is based on Flamingo, a state-of-the-art visual language model initially developed by DeepMind, which has not been released publicly. Similarly to GPT-4, the model accepts arbitrary sequences of image and text inputs and produces text outputs. IDEFICS is built solely on publicly available data and models (LLaMA v1 and OpenCLIP) and comes in two variants—the base version and the instructed version. Each variant is available at the 9 billion and 80 billion parameter sizes. The development of state-of-the-art AI

March 30, 2025

ikayaniaamirshahzad@gmail.com

Building Real-time Collaborative Applications with Go Backends and React Frontends

Real-time collaborative applications have transformed how teams work together by enabling multiple users to edit the same content simultaneously. The guide walks you through the fundamentals of building such systems using Go and React, with a focus on understanding the core concepts first before implementing them. Introduction Applications like Google Docs, Figma, and Notion leverage sophisticated synchronization mechanisms to create seamless collaborative experiences. Before diving into code, it’s essential to understand what makes these applications work. In this guide, you’ll learn: The architecture of real-time collaborative systems How to implement WebSocket communication between Go and React Techniques for conflict resolution