AI Questions

What is Agentic AI? Agentic AI systems are AI systems that are designed to act autonomously and independently, make decisions, and take actions on behalf of users or organizations without continuous human intervention. These systems are designed to exhibit agency, meaning they can set objectives, adapt to changing circumstances, and execute plans based on their […]

Differences between AutoML and MLOps Let’s look at some of the differences between AutoML and MLOps in this tutorial. AutoML automates model-building tasks, while MLOps provides the processes and infrastructure to operate models reliably at scale. Understanding their differences helps teams pick the right tools and responsibilities for each phase. What is AutoML? AutoML (Automated […]

Difference between Google Gemini and Gemma Google has developed multiple AI models to power its products, services, and developer tools. Two notable models from Google are Gemini and Gemma. While they sound similar, they serve different purposes and are designed with distinct goals in mind. This article helps you understand what each model is and […]

How do you generate speech with the ElevenLabs AI tool? In this tutorial, you will learn how to generate speech with the ElevenLabs AI tool. ElevenLabs is an AI tool focused on generating high-quality text and voice content. It leverages cutting-edge natural language processing and machine learning techniques to create human-like speech, making it ideal […]

GPT-4o mini model In recent years, there has been exponential growth in the field of Natural Language Processing (NLP). One of the breakthroughs in this domain is the development of GPT-4o mini, a highly advanced language model that can understand and generate human-like text in English. GPT-4o mini combines state-of-the-art techniques in NLP, machine learning, […]

Differences between LIME and SHAP in XAI As artificial intelligence (AI) systems become more widespread and impactful, there’s a growing need to understand how these systems make decisions. This demand for transparency has led to the development of Explainable AI (XAI) — a field dedicated to making machine learning models more interpretable. Two popular tools […]