Artificial intelligence, is a technique used to train machines to work and behave like humans. It encompasses various training methods and software like machine learning, neural network and deep learning, natural language processing, and more.
As the field of artificial intelligence (AI) advances, generative AI (GAI) techniques are gaining enormous attention for their ability to generate code and provide suggestions based on prompts that are provided by developers, thereby accelerating the software development process.
These AI models are typically trained on billions of lines of code, most of which are open and freely available to the public. Based on the developers’ prompts, these AI tools generate a fully functional code or code snippets.
With the rise in the use of AI tools and developers utilising them to generate creative outputs, GAI will fundamentally change the way that software is built. Whether they are developing or using AI tools, organisations must understand the opportunities and risks involved, and evolve policies, processes, and governance to address them. This includes open source software codes.
A glimpse of open source software licences
Open source software (OSS) has become a major pillar of modern software development, fostering collaboration and innovation. With the increase in the availability of generative AI models, it has become essential to address the complexities of the code governed by open source licences.
The OSS licence allows users to access, use, modify, distribute, or redistribute the open source software. However, many OSS licences impose different obligations and conditions on the use and distribution of the software. These can range from providing attribution to specifying that the OSS modified code must be released under the same licence.
Diese Geschichte stammt aus der September 2023-Ausgabe von Open Source For You.
Starten Sie Ihre 7-tägige kostenlose Testversion von Magzter GOLD, um auf Tausende kuratierte Premium-Storys sowie über 8.000 Zeitschriften und Zeitungen zuzugreifen.
Bereits Abonnent ? Anmelden
Diese Geschichte stammt aus der September 2023-Ausgabe von Open Source For You.
Starten Sie Ihre 7-tägige kostenlose Testversion von Magzter GOLD, um auf Tausende kuratierte Premium-Storys sowie über 8.000 Zeitschriften und Zeitungen zuzugreifen.
Bereits Abonnent? Anmelden
Modelling Toeplitz Networks with SageMath
A Toeplitz network refers to a graph that has a comparable regularity in its structure. SageMath is an excellent tool for facilitating the creation, analysis, and visualisation of graphs. Hence, SageMath can be used to effectively model Toeplitz networks and get insights into their structural characteristics, leading to advancements in network design and analysis.
It's the Age of AI Agents!
Businesses must get ready to work with AI agents if they want to stay competitive. Many have already adopted them, while others are gearing up to do so. These agents will soon be part of almost every organisation, making up a large global digital workforce.
Building Machine Learning Models with Scikit-learn
Scikit-learn scores over other machine learning libraries because it is easy to use, comes with a comprehensive feature set, has strong community support, and is customisable. Here's a quick look at its features and use cases.
SageMath: Deeper Insights into Cybersecurity
In the previous article in this SageMath series (published in the January 2025 issue of OSFY), we concluded our discussion of classical encryption techniques and moved on to the exploration of modern cryptography by looking at symmetric-key cryptography. In this ninth article in the series, we will continue the focus on symmetric-key cryptography.
Why You Should Go for Grafana
Explore the main characteristics of Grafana, the open source analytics and visualisation tool for application in the Internet of Things, and see how it compares with other similar popular tools.
Metaverse and Digital Twins: Partnering to Innovate
Let's explore Al-powered digital twin technology and the Metaverse, delving into what they promise, their limitations, and how large language models and generative Al help address these challenges.
How Open Source LLMs are Shaping the Future of AI
The future of AI isn't locked behind proprietary paywalls—it's open and collaborative, with open source LLMs giving businesses the power to innovate on their own terms.
Netbooting a Large Language Model-based OS in an Ubuntu Live Server
This brief tutorial explores the wireless netbooting of the LLM model Gemini AI in an Ubuntu server.
NLP: Text Summarisation with Python
Here's a simple Python method based on the Natural Language Toolkit for extractive text summarisation in natural language processing.
MLOps vs AlOps: What, Where, and Why
MLOps and AIOps excel at driving efficiency and innovation in an organisation. Let's find out what they are, where they can be used, and why we should do so.
