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Generative AI & Large Language Models (LLMs)

Prompt Engineering for Developers and Software Architects

Generative AI models like GPT-4 are transforming software development by enhancing productivity and decision-making. This guide on prompt engineering helps developers and architects harness the power of large language models. Learn essential techniques for crafting effective prompts, integrating AI into workflows, and improving performance with embeddings. Whether you're using ChatGPT, Copilot, or another LLM, mastering prompt engineering is key to staying competitive in the evolving world of generative AI.

Art and creativity with AI

Thanks to artificial intelligence, there are no limits to your creativity. Programs like Vecentor or Mann-E, developed by Muhammadreza Haghiri, make it easy to create images, vector graphics, and illustrations using AI. In this article, explore how machine learning and generative models like GPT-4 are transforming art, from AI-generated paintings to music and digital art. Stay ahead in the evolving world of AI-driven creativity and discover its impact on the creative process.

Building Ethical AI: A Guide for Developers on Avoiding Bias and Designing Responsible Systems

The intersection of philosophy and artificial intelligence may seem obvious, but there are many different levels to be considered. We talked to Katleen Gabriels, Assistant Professor in Ethics and Philosophy of Technology and author of the 2020 book “Conscientious AI: Machines Learning Morals”. We asked her about the intersection of philosophy and AI, about the ethics of ChatGPT, AGI and the singularity.

Google Bard: The Answer to ChatGPT?

With the release of the AI ChatGPT at the end of November 2022, OpenAI made big waves that don’t seem to be dying down. For a long time, not just in the tech bubble, people waited for the giant Google to answer. Now here it is: Google introduced its conversational AI, Bard. We take a look at the announcement, the technology, and speculate a bit about Google’s apparent hesitation.

Generative Adversarial Networks: “GANs can create new ‘realities’ that never existed”

Generative Adversarial Networks (GANs) have recently sparked an increasing amount of interest, as they can generate images of faces that look convincingly real. What else are they capable of, what risks could they pose in the long run, and what do they have in common with the emerging internet in the 1990’s? We interviewed ML Conference speaker Xander Steenbrugge.

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