MCP vs A2A: Architecting AI Agent Communication for Enterprise

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....

Generative AI & Agents

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.

Generative AI & Agents, Interview

RAG & MCP for ML Devs: Practical AI Implementation

Jul

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.

Blog, ML & Deep Learning

Deep Learning with Category Theory for Developers

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.

AI Developer Tools, Blog, Generative AI & Agents

How Ollama Powers Large Language Models with Model Files

Jan

2025

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...

AI Developer Tools, Blog

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,...

Tag

MCP vs A2A: Architecting AI Agent Communication for Enterprise

Can GenAI Build Satellites?

RAG & MCP for ML Devs: Practical AI Implementation

Deep Learning with Category Theory for Developers

How Ollama Powers Large Language Models with Model Files

OpenAI Embeddings

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