Articles for category: AI Tools

March 29, 2025

ikayaniaamirshahzad@gmail.com

Introduction to Japanese Natural Language Processing

Masato Hagiwara is an independent NLP/ML researcher and engineer at Octanove Labs. He works on educational and Asian language processing projects with world class startups and research institutes. He received his Ph.D. degree in Information Science from Nagoya University in 2009, and worked at companies including Google, Microsoft Research, Baidu, and Duolingo. An author of several best-selling NLP books. Paul O’Leary McCann is a consultant and member of the spaCy development team. Based in Tokyo since 2011, he maintains the most popular Japanese tokenizer in Python. Outside of his work on NLP he helps out with Tokyo Indies, a monthly

March 29, 2025

ikayaniaamirshahzad@gmail.com

Hugging Face and Google partner for open AI collaboration

At Hugging Face, we want to enable all companies to build their own AI, leveraging open models and open source technologies. Our goal is to build an open platform, making it easy for data scientists, machine learning engineers and developers to access the latest models from the community, and use them within the platform of their choice. Today, we are thrilled to announce our strategic partnership with Google Cloud to democratize good machine learning. We will collaborate with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models

March 29, 2025

ikayaniaamirshahzad@gmail.com

Welcome spaCy to the Hugging Face Hub

spaCy is a popular library for advanced Natural Language Processing used widely across industry. spaCy makes it easy to use and train pipelines for tasks like named entity recognition, text classification, part of speech tagging and more, and lets you build powerful applications to process and analyze large volumes of text. Hugging Face makes it really easy to share your spaCy pipelines with the community! With a single command, you can upload any pipeline package, with a pretty model card and all required metadata auto-generated for you. The inference API currently supports NER out-of-the-box, and you can try out your

March 29, 2025

ikayaniaamirshahzad@gmail.com

An Introduction to AI Secure LLM Safety Leaderboard

Given the widespread adoption of LLMs, it is critical to understand their safety and risks in different scenarios before extensive deployments in the real world. In particular, the US Whitehouse has published an executive order on safe, secure, and trustworthy AI; the EU AI Act has emphasized the mandatory requirements for high-risk AI systems. Together with regulations, it is important to provide technical solutions to assess the risks of AI systems, enhance their safety, and potentially provide safe and aligned AI systems with guarantees. Thus, in 2023, at Secure Learning Lab, we introduced DecodingTrust, the first comprehensive and unified evaluation

March 29, 2025

ikayaniaamirshahzad@gmail.com

Open the default browser across platforms

Welcome to the third article in a series of tips and tricks about Compose Multiplatform. The content is based on a sample app called CMP Unit Converter. It runs on Android, iOS, and the Desktop. As its name suggests, you can convert between various units. While this may provide some value, the main goal is to show how to use Compose Multiplatform and a couple of other multiplatform libraries, focusing on platform integration. This time, we will be looking at opening the default browser across platforms. So, why would you want to do that? Well, one obvious reason is that

March 29, 2025

ikayaniaamirshahzad@gmail.com

The Hallucinations Leaderboard, an Open Effort to Measure Hallucinations in Large Language Models

In the rapidly evolving field of Natural Language Processing (NLP), Large Language Models (LLMs) have become central to AI’s ability to understand and generate human language. However, a significant challenge that persists is their tendency to hallucinate — i.e., producing content that may not align with real-world facts or the user’s input. With the constant release of new open-source models, identifying the most reliable ones, particularly in terms of their propensity to generate hallucinated content, becomes crucial. The Hallucinations Leaderboard aims to address this problem: it is a comprehensive platform that evaluates a wide array of LLMs against benchmarks specifically

March 29, 2025

ikayaniaamirshahzad@gmail.com

🚀 Master JavaScript Operators & Math Methods

JavaScript is a powerful language, and understanding operators and Math methods is essential for writing efficient code. In this tutorial, I break down these concepts with real-world examples to help you improve your coding skills! 🎥 Watch the Full Tutorial 🔹 What You’ll Learn ✅ JavaScript Operators Arithmetic Operators (+, -, *, /, %, etc.) Comparison Operators (==, ===, !=, !==, >, <, etc.) Logical Operators (&&, ||, !) Bitwise Operators (&, |, ^, ~, <<, >>, >>>) Assignment Operators (=, +=, -=, *=, etc.) ✅ JavaScript Math Methods Math.round(), Math.floor(), Math.ceil() Math.random(), Math.pow(), Math.sqrt() Math.min(), Math.max() And more! 🛠️

March 29, 2025

ikayaniaamirshahzad@gmail.com

We’ve sold 5% of Explosion · Explosion

Since founding Explosion in 2016, we’ve run the company as a profitable business. This stable platform has helped spaCy grow to one of Python’s most popular open-source projects. We’ve funded spaCy from sales of our annotation tool Prodigy, which we’ve now sold to over 500 companies, with thousands of customers in total. The next step for Explosion is Prodigy Teams: a hosted version that adds collaboration and production stability features, while maintaining the data privacy and programmability. Doing this project well is much more important to us than doing it cheaply, so we decided to consider external investment, so long