Dynamic Integration for AI Agents – Part 1
By Michael Poulin “This text is written by a human “— AI Humanaiser. The most transformative eras and, in general, the most progressive human evolution are driven by “What to do” as the compass. The […]
modeling
Enhancing Document Level Question Answering Using Model Context Protocol (MCP) and Agent Oriented RAG Systems
By Dr. Gopichand Agnihotram and Joydeep Sarkar Abstract This paper proposes a comprehensive and modular architecture for intelligent question answering over enterprise documents using Model Context Protocol (MCP) and agent-oriented design. It addresses…
The Agentic Software Development Life Cycle (A-SDLC)
By Stuart Dee My recent article in A&G on conscious machines prompted a colleague to ask a compelling question, what does the future of software development look like? The answer lies in a rapidly approaching […]
Excerpt on Multi-Agent Systems (Agentic AI) from the eBook ‘Mastering AI Ethics and Safety’
By Walson Lee (Editor’s Note: What follows is an excerpt from “Mastering AI Ethics and Safety.” The book can be purchased here.) Introduction The rapid advancement of Artificial Intelligence presents both unprecedented opportunities a…
It’s Time to Get Comfortable with Uncertainty in AI Model Training
It’s obvious when a dog has been poorly trained. It doesn’t respond properly to commands. It pushes boundaries and behaves unpredictably. The same is true with a poorly trained artificial intelligence (AI) model. Only with […]
Developing Small Language Models (SLM) for Domain-Specific Solutions
Enhancing Cost-Effectiveness and Ensuring Security and Compliance Dr. Magesh Kasthuri, Distinguished Member and Chief Architect, Wipro Limited In today’s fast-paced digital world, the development of language models tailored to specific domains or…
Multi-Agent Communication Protocols in Generative AI and Agentic AI: MCP and A2A Protocols
By Dr. Magesh Kasthuri, Distinguished Member and Chief Architect, Wipro Limited, and Dharanidharan Murugesan, Technical Lead, Wipro Limited In the landscape of Generative AI and Agentic AI solutions, the need for efficient and robust multi-agent […]
Experts Find the Pen is Mightier than the Data
Plenty of researchers already study how to tell if online writing bears the traits of artificial intelligence — but Michael Laudenbach, at New Jersey Institute of Technology’s Jordan Hu College of Science and Liberal Arts, […]
Examining the Five Maturity Levels of Agentic AI
By Jesper Lowgren, Chief Enterprise Architect, DXC Technology AI is evolving in leaps and bounds. It has already transformed industries, and its impact will only grow. But why is this such a big deal? What […]
Mixture of Experts (MoE) Architecture: A Deep Dive and Comparison of Top Open-Source Offerings
By Bala Kalavala, Chief Architect & Technology Evangelist The Mixture-of-Experts (MoE) architecture is a groundbreaking innovation in deep learning that has significant implications for developing and deploying Large Language Models (LLMs). In esse…
How AI-Empowered ‘Citizen Developers’ Help Drive Digital Transformation
(Editor’s Note: What follows is an edited excerpt from “All Hands on Tech: The AI-Powered Citizen Revolution,” by Thomas H. Davenport and Ian Barkin, with Chase Davenport – published by Wiley, October 2024. It was […]
Up to 30% of the Power Used to Train AI Is Wasted, But There Are Ways to Fix It
A less wasteful way to train large language models, such as the GPT series, can finish in the same amount of time for up to 30% less energy, according to a new study from the […]