Generative AI & Large Language Models (LLMs)

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....

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,...

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...

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...

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