Jul
21,
2025
MCP vs A2A: Architecting AI Agent Communication for Enterprise
The AI landscape is shifting towards collaborative, specialized agents. This article provides an essential comparative analysis of emerging AI agent communication protocols: Anthropic's Model Context Protocol (MCP) and Google's Agent-to-Agent (A2A). For ML/AI developers and technical leaders, understanding these frameworks is crucial for building scalable, secure, and composable 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.
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...
Feb
19,
2024
OpenAI Embeddings
Embedding vectors (or embeddings) play a central role in the challenges of processing and interpretation of unstructured data such as text, images, or audio files. Embeddings take unstructured data and convert it to structured, no matter how complex, so they can be easily processed by software. OpenAI offers such embeddings,...