Navigating AI Frontier — Role of Quality Engineering in GenAI (Part Two)

By Shammy Narayanan In part one, we explored how the rise of GenAI has thrust Quality Engineering (QE) into an existential spotlight. Far from fading away, QE is evolving moving from executing test scripts to ensuring […]

Large Language Models: Technology, Intelligence, and Thought

With the continuous maturity of deep learning technologies, the accumulation of big data resources, and the explosive growth of computational performance, the field of Artificial Intelligence (AI) has gradually stepped into the “new frontier&#822…

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 […]