Transformer Models
A transformer model is a type of deep learning architecture primarily used for natural language processing (NLP) tasks such as text generation, translation, summarization, and language understanding. The Transformer architecture
Update Rollback
In modern software development, frequent updates and deployments are a necessity. However, not every update goes as planned. Sometimes, new deployments introduce bugs, performance issues, or security vulnerabilities, requiring a
Usage Analytics
Usage analytics is crucial for understanding user behavior, improving product performance, and optimizing system efficiency. DevOps teams can make informed decisions about feature enhancements, system optimizations, and infrastructure scaling by
User Acceptance Testing (UAT)
Software development before release requires ensuring an application meets business requirements and user expectations. User Acceptance Testing (UAT) is the final phase of testing, during which end-users test the system
Variational Autoencoders (VAEs)
Variational autoencoders (VAEs) are a generative model in machine learning that learns to encode input data into a compressed, continuous representation and then decode it to reconstruct the original or
Vector Databases
What Is a Vector Database? A vector database is a type of database designed to store, index, and retrieve high-dimensional data in the form of vectors. Unlike traditional databases that
Version Control System (VCS)
Managing changes to code, configurations, and documentation in modern software development is crucial for ensuring collaboration, tracking progress, and maintaining software integrity. Version Control Systems (VCS) is essential to DevOps,
Vertical Scaling
Vertical scaling refers to increasing or decreasing the capacity of a single virtual machine or server by adding or reducing resources such as CPU, memory, or storage. Unlike horizontal scaling,
Workload Balancing
Workload balancing in cloud computing refers to distributing computing tasks and workloads across multiple servers, clusters, or environments to ensure optimal resource utilization, high availability, and system reliability. It plays
Workload Consolidation
Workload consolidation in cloud computing refers to optimizing resource utilization by combining multiple workloads into a smaller number of physical or virtual machines. This practice reduces operational overhead, minimizes resource
Zero-Shot Learning
Zero-shot learning (ZSL) is a type of machine learning in which a model can recognize and classify things it has never seen before without direct training on those specific things.
