Jul
21,
2025
MCP vs A2A: Architecting AI Agent Communication for Enterprise
Explore how Anthropic’s Model Context Protocol (MCP) and Google’s Agent-to-Agent (A2A) reshape AI agent communication. This guide helps ML and AI professionals choose the right protocol to build secure, scalable, and composable enterprise AI systems.
Jul
17,
2025
Can GenAI Build Satellites?
How can engineers use GenAI, RAG, and MLOps to tackle the complexity of aerospace projects? From managing thousands of documents to building smarter systems faster, this session shows how AI is transforming the future of systems engineering.
Jul
7,
2025
RAG & MCP for ML Devs: Practical AI Implementation
This article, featuring insights from Robert Glaser at JAX Mainz, dives into practical AI implementation strategies. We explore why Retrieval-Augmented Generation (RAG) is a foundational technique and how the emerging Model Context Protocol (MCP) is poised to revolutionize AI agent development.
Apr
29,
2025
Deep Learning with Category Theory for Developers
This article looks under the hood of deep learning and is perfect for any machine learning developers looking to understand the basics. We’ll show that deep learning can also be approached differently (and much more simply), using slightly more advanced (but not complicated) mathematics and functional programming.
Mar
13,
2025
Exploring DeepSeek: How a New Player is Challenging AI Norms
In this interview, Dr. Pieter Buteneers shares his thoughts on the emerging AI company DeepSeek. We explore the technology behind it, discuss its potential impact on AI development, and touch upon the opportunities and challenges of this innovation.
Feb
26,
2025
Agentic AI: The Future of Business Process Automation
This article explores how Agentic AI revolutionizes the business process layer, enabling companies to achieve greater efficiency, adaptability, and competitive advantage. We will uncover how enterprises can transition towards self-optimizing, AI-driven workflows by examining its foundational principles, real-world applications, and future implications.
How Ollama Powers Large Language Models with Model Files
The rise of large language models (LLMs) has transformed the landscape of artificial intelligence, enabling advanced text generation, and even the ability to write code. At the heart of these systems are foundation models built on transformer models and fine-tuned with vast amounts of data. Ollama offers a unique approach...
Sep
26,
2024
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,...
Jul
29,
2024
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...
Apr
17,
2024
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...