Tech Savvy

What is One Challenge in Ensuring Fairness in Generative AI: The Hidden Bias Problem

Generative AI systems create content that looks human-made. But they carry hidden biases that make them unfair to certain groups. The biggest challenge in ensuring fairness in generative AI is data bias amplification – where AI models learn and magnify unfair patterns from their training data. This problem affects millions of people daily. AI systems […]

What is One Challenge in Ensuring Fairness in Generative AI: The Hidden Bias Problem Read More »

How Small Language Models Are the Future of Agentic AI

Small language models (SLMs) are rapidly becoming the backbone of practical AI agents. While massive models like GPT-4 dominate headlines, smaller models with 1-13 billion parameters are quietly revolutionizing how AI agents work in real applications. Why Small Models Beat Large Models for AI Agents Speed Wins Every Time Large models take 3-10 seconds per

How Small Language Models Are the Future of Agentic AI Read More »

What Are the Four Core Characteristics of an AI Agent?

AI agents possess four fundamental characteristics that define their capability: autonomy, reactivity, proactivity, and social ability. These traits work together to create intelligent systems that can perceive their environment, make decisions independently, and interact effectively with humans and other systems. Understanding these characteristics helps you evaluate AI solutions, design better implementations, or simply grasp how

What Are the Four Core Characteristics of an AI Agent? Read More »

The Primary Purpose of Business Monitoring in Agentic AI Systems

What Is the Primary Purpose of Business Monitoring in Agentic AI Systems?

The primary purpose of business monitoring in agentic AI systems is to ensure these autonomous agents perform their intended business functions safely, efficiently, and in alignment with organizational goals. This monitoring provides real-time visibility into AI agent behavior, performance metrics, and business impact while preventing costly errors and maintaining operational control. Unlike traditional software monitoring,

What Is the Primary Purpose of Business Monitoring in Agentic AI Systems? Read More »

What Happens During the Perception Part of the Agentic AI Loop

What Happens During the Perception Part of the Agentic AI Loop: A Complete Guide

The perception phase is where agentic AI systems gather, process, and interpret information from their environment. This critical first step determines how well an AI agent can understand its surroundings and make informed decisions. During perception, AI agents collect raw data through various sensors and inputs, then transform this information into meaningful representations they can

What Happens During the Perception Part of the Agentic AI Loop: A Complete Guide Read More »