Artificial Intelligence
Neural Architecture Search (NAS) Designing the best neural network architecture for a given task is a challenging and time-consuming process. Traditionally, experts manually crafted architectures through trial, error, and experience. Neural Architecture Search aims to automate this process, reducing human effort while achieving high-performing models tailored to specific problems. Neural Architecture Search is an AI-driven […]
Unit21 Introduction Unit21 is a software platform used by companies to detect and prevent financial crimes such as fraud and money laundering. It analyzes transactions (payments, transfers, logins, and other activities) in real time or in batches and helps businesses find suspicious behavior automatically instead of checking everything manually. In simple terms, Unit21 acts like […]
OpenVINO Software Toolkit OpenVINO is an open-source software toolkit for optimizing and deploying deep learning models. VINO stands for Open Visual Inference and Neural Network Optimization. It is a powerful toolkit designed to optimize and accelerate deep learning models, offering enhanced performance for AI applications. Intel Corporation develops this toolkit with advanced capabilities the toolkit […]
Software Testing Prompts Examples AI testing prompts make it easier to automate the creation and execution of tests, freeing up testers from manual work and ensuring more comprehensive test coverage. Examples Some examples of AI testing prompts that might be used in a test automation framework or an AI-powered testing tool: Functional Testing Prompts “Generate […]
AI Testing Prompts In this tutorial, let’s learn how to issue AI Testing Prompts using Cursor IDE. An AI testing prompt is a specific input or instruction given to an AI tool or LLM model to guide it in generating or executing a test. These prompts are used to instruct the AI on what to […]
Mixture of Experts (MoE) LLMs The Mixture of Experts (MoE) is an ML Technique where multiple expert networks (learners) are used to divide a problem space into homogeneous regions. MoE makes LLMs faster by using multiple smaller “experts” instead of one giant network. Each expert specializes in tasks like grammar or creativity. Only relevant experts […]