Fine-Tuning
Fine-tuning is a machine learning process in which a pre-trained model is further trained on a smaller, task-specific dataset to adapt for a particular use case. It builds upon the
Fine-tuning is a machine learning process in which a pre-trained model is further trained on a smaller, task-specific dataset to adapt for a particular use case. It builds upon the
A generative adversarial network (GAN) is a deep learning model comprising two competing neural networks: a generator and a discriminator. GANs were first introduced by Ian Goodfellow in 2014 and
Generative AI (also known as GenAI) is an artificial intelligence capable of creating new content such as images, videos, music, text, and other media based on the learned data. Unlike
Hallucination in AI happens when a system, especially a large language model (LLM), generates information that is entirely false, misleading, or nonsensical. These outputs may look correct but are not
Horizontal Pod Autoscaler (HPA) is a Kubernetes feature that automatically adjusts the number of running pods in a workload, such as a Deployment or StatefulSet, based on resource utilization. This
Horizontal scaling in cloud computing means increasing or decreasing computational capacity by adding or removing multiple servers or nodes to handle changing workloads. This approach ensures improved performance and fault
Definition A Host-Based Intrusion Detection System (HIDS) is cybersecurity technology installed on individual host devices such as servers, workstations, and mobile devices. It monitors the system for suspicious activities and
Definition A hotfix is a rapid software update deployed to fix a critical issue in a live production environment. It is typically applied outside the standard release cycle to address
What is Human-AI Collaboration? Human-AI collaboration refers to how humans and artificial intelligence work together to improve efficiency, productivity, and innovation. Instead of AI replacing human roles, this approach combines
What is Hyperparameter Tuning? Hyperparameter tuning optimizes machine learning models by selecting the best set of hyperparameters. Unlike model parameters learned from training data, hyperparameters are set before training begins
Idle resources in cloud computing refer to computing assets, such as virtual machines (VMs), storage, databases, or other services, that remain active but are underutilized or not performing productive tasks.
Image recognition technology allows computers to analyze and interpret visual data. It uses artificial intelligence (AI) and machine learning (ML) to identify objects, patterns, and features in images or videos.
What is Image Segmentation? Image segmentation is a fundamental process in computer vision that involves dividing an image into distinct regions. Each region corresponds to a meaningful part of the
Definition Incremental Deployment is a software deployment strategy in which updates or new features are released gradually instead of deploying the entire system at once. This approach minimizes risks, improves
An inference engine is a component of artificial intelligence (AI) systems that applies logical rules to data to draw conclusions or make decisions. It works with a knowledge base that
Definition Infrastructure as a Service (IaaS) is a cloud computing model that provides on-demand resources over the Internet. These resources include virtualized hardware such as servers, storage, networking, and virtualization
Definition An Ingress Controller is a component in Kubernetes that manages external access to services within a cluster, primarily handling HTTP and HTTPS traffic. It acts as a specialized load
An instance scheduler is a tool or service that automates the management of cloud computing instances, such as virtual machines (VMs) or databases, by starting or stopping them based on
Instance types in cloud computing refer to predefined configurations of virtual machines (VMs) offered by cloud service providers. Each instance type specifies a combination of compute power (CPU), memory, storage,
What is Intent Classification? Intent classification is a natural language processing (NLP) component that determines the purpose behind a user’s input in text or speech. It enables AI systems to