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 […]

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

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