Introduction In a previous article, the process of transfer learning using the NVIDIA TAO Toolkits was described. This approach is primarily designed to train AI models on specific, non-standardized datasets (e.g. industrial defect detection). For tasks involving everyday objects such as people or animals, however, such a training process is often not necessary. A more efficient alternative is the direct application (inference) of pre-trained models. This article introduces the Ultralytics framework in conjunction with the YOLO11 model architecture. ...

Introduction In this guide we set up an AI development environment with the NVIDIA TAO Toolkit. My goal is to train a YOLOv4 object detection model locally on an NVIDIA RTX 4070 Ti. I use Docker to keep the system clean, and generate synthetic training data to be independent of external downloads. What is the NVIDIA TAO Toolkit? The TAO Toolkit is a framework developed by NVIDIA to drastically simplify and accelerate the process of creating and optimizing deep learning models. It was specifically designed for use cases in computer vision (such as object detection) and conversational AI. ...

Introduction Every day hundreds of new articles about AI and technology appear. No one has the time to manually sift through all of them. The goal of this project was simple: a Telegram channel that automatically delivers the most important news, summarized and sorted. The result of this system is accessible to everyone. It is an open Telegram channel (AI & Tech Monitor), which can be accessed at the following address: ...

RAG Retrieval-Augmented Generation (RAG) is nowadays a common method to connect Large Language Models with external knowledge. Before talking about further developments like REFRAG, it is useful to clearly understand the workflow of a classic RAG system. The diagram below shows the standard process. The steps are color-coded, numbered and can be well divided into four areas: RAG Process Description Steps 1 - 4: Preprocessing (data preparation) Steps 5 - 7: Embedding ...

This guide describes how to install the Docker Engine on Debian 12 (Bookworm) and configure it so that it starts automatically as a system service and remains updatable via APT. System update Before installation, a complete update of all existing packages is recommended to avoid version conflicts. Required tools ca-certificates provides the certificates of trusted issuers. curl is used to download the Docker GPG key. gnupg converts the key into a format readable by APT. ...

Normally I write about technology, but today it’s about an experiment at the intersection of technology and creativity. I created a complete salsa album using various AI tools. The goal was to see how an AI processes the rhythmic and cultural nuances of salsa. The result is now available on all major streaming platforms, including Spotify, Apple Music and Amazon Music. Spotify https://open.spotify.com/album/2dX9EB9tMiS3AB8m9HBydR Apple Music https://music.apple.com/de/album/la-vida-en-clave/1840664275 Amazon Music https://www.amazon.de/dp/B0FR1J34QR/ Enjoy listening! https://www.thawalib-parabek.sch.id/wp-content/uploads/2019/06/pahami-pola-rahasia-ini-banyak-pemain-dapat-maxwin-lebih-cepat-tanpa-modal-besar.html https://www.thawalib-parabek.sch.id/wp-content/uploads/2019/06/cara-membaca-pergerakan-pola-sebelum-spin-ini-yang-jarang-dipelajari-pemain-pemula.html ...

The following podcast was generated by AI. Introduction In modern industrial manufacturing, predictive maintenance, or Predictive Maintenance (PM), has become a decisive competitive factor. Thanks to rapid advances in Artificial Intelligence (AI), companies can not only monitor the condition of their equipment but also precisely predict its future failure behavior. This technological revolution is built on three inseparable pillars. Firstly, the data serves as the raw material. In the next step, it is transformed into valuable insights through anomaly detection and model training. Finally, AI uses these insights to make reliable predictions. Understanding these interrelationships is the first and most important step on the path to intelligent maintenance. ...

Telegram is more than just a messaging app. It has evolved into a versatile platform for automation and the development of interactive services. Especially in the field of AI applications and tools like n8n, Telegram is becoming increasingly popular because it enables direct bidirectional communication with people. For developers who want to leverage these possibilities, there are two fundamental approaches: the Bot API and the MTProto-API. The Bot API: The standard way for most bots ...

This guide covers the function, components and practical implementation of a Web Application Firewall (WAF). Definition of a Web Application Firewall A Web Application Firewall (WAF) is a security system for monitoring, filtering and blocking HTTP traffic to and from a web application. Unlike a traditional network firewall, which operates at the network and transport layers (Layer 3 and 4) of the OSI model and filters traffic primarily based on IP addresses and ports, a WAF operates at the application layer (Layer 7). ...

Software documentation today is more than just a mandatory task. It is part of the development process and must be as agile, versionable and automatable as source code itself. Classic office documents or proprietary wikis quickly reach their limits. Changes are hard to trace, collaboration is cumbersome and integration into CI/CD pipelines is hardly possible. AsciiDoc and Kroki address exactly these points. Both tools embody the Docs-as-Code approach, where documentation is treated like source code. AsciiDoc provides an expressive text-based language for technical documentation that can be managed in Git and processed automatically. Kroki complements this with the ability to embed diagrams directly in the document and render them automatically. This allows developers to use diagrams without needing to install additional tools. ...