The “best” solution will heavily depend on several factors: Complexity of the desired code: Simpler code generation tasks might be handled efficiently by some of the AI search engines like YOU.com or Bing AI, which offer functionalities like basic code snippets or summaries. Bing AI and Google Search with Gemini are the best options. In most… Continue reading Which AI search engines is best to generate source code?
Which Artificial Intelligence tools is most used?
Today most commonly used Artificial Intelligence tools are TensorFlow, PyTorch, CNTK, Caffe, Apache MXNet, Keras, OpenNN, AutoML, and H2O.ai. Each tool is used for different purposes, and choosing the right one depends on the task you are trying to accomplish. For example, TensorFlow is one of the most popular tools for deep learning, while AutoML… Continue reading Which Artificial Intelligence tools is most used?
Norwegian conversational AI platform
Boost.ai is an end-to-end conversational AI platform that enables organizations to quickly create, deploy, and manage virtual assistants for their customers. The platform makes use of natural language processing (NLP) and natural language understanding (NLU) to understand customer queries and respond accurately. It also uses self-learning AI to reduce development time and enhance customer communication.… Continue reading Norwegian conversational AI platform
Using cgroups in Linux
Cgroups (abbreviated from control groups) is a Linux kernel feature that limits, accounts for, and isolates the resource usage of a collection of processes. Cgroups allow you to allocate resources — such as CPU time, system memory, network bandwidth, or combinations of these resources — among user-defined groups of processes. In order to use cgroups… Continue reading Using cgroups in Linux
New Linux kernel 6.0
The latest Linux kernel is 6.0 and it brings an assortment of performance improvements, new hardware support, security fixes, and the usual grab-bag of file-system tweaks. This includes support for Intel’s fourth generation Xeon server chips “Sapphire Rapids”, and their 13th generation “Raptor Lake” core chips. AMD provides a kernel graphics driver for their RDNA… Continue reading New Linux kernel 6.0
Your tool box with Kotlin
When programming in Kotlin, the tool box should include an Integrated Development Environment (IDE) such as IntelliJ IDEA, Atom, Visual Studio Code, Sublime Text, or Eclipse IDE. Additionally, you should have Gradle and Maven as build systems to build software from Kotlin code, as well as access to various libraries and frameworks like Spring, JetBrains,… Continue reading Your tool box with Kotlin
What is new in the last Linux kernel?
The latest stable version of the Linux kernel at the time of writing is 5.12, which was released on May 2, 2021. Some of the key features and improvements in this release include: These are just a few examples of the many improvements and features that have been added to the Linux kernel in recent… Continue reading What is new in the last Linux kernel?
Clojure the solution for immutable data?
Clojure is a good choice for building highly concurrent and distributed systems, as well as for applications that require a high degree of code reuse and flexibility. It is also a good choice for working with data-intensive applications, thanks to its support for immutable data structures and powerful concurrency primitives. Additionally, because it runs on… Continue reading Clojure the solution for immutable data?
Weaknesses with programming language Kotlin
Many developers consider Kotlin to be a good programming language. It is concise and expressive, making it easy to read and write. It also has strong support for functional programming, which can make it a good choice for building complex, scalable applications. Additionally, because it is fully interoperable with Java, it allows developers to leverage… Continue reading Weaknesses with programming language Kotlin
Problems with license management?
In practice, open-source software is generally free or cheap to acquire, and the licensing regime is not onerous either to administer or to fund. Commercial software, by contrast, does not distribute its source code, and generally requires ongoing payments in respect of licensed software, which must be administered and calculated according to the terms of… Continue reading Problems with license management?