Glossary Terms

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Glossary Terms

Prompt Optimization

What is Prompt Optimization? Prompt optimization is the process of refining, structuring, and enhancing input prompts to improve the performance of language models. A well-optimized prompt increases generated responses’ accuracy,

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Pull Request Automation

Pull request automation significantly enhances the efficiency and reliability of code integration in software development. As a foundational aspect of modern development workflows, especially in team environments, pull requests (PRs)

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Quality of Service (QoS)

Quality of Service (QoS) is a critical technology in network management, focusing on allocating and prioritizing network resources to ensure efficient data flow across a network. This technology is essential

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Queue Depth Monitoring

Effective monitoring is the backbone that supports smooth and efficient operations. Queue depth monitoring is particularly crucial for organizations that rely heavily on server performance and data storage systems. Queue

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Rate Limiting

Rate limiting is a technique used to control the amount of traffic a server can handle by limiting the number of requests a user, IP address, or service can make

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Recommendation Systems

What is a Recommendation System? A recommendation system is an artificial intelligence (AI) application designed to suggest relevant items, content, or services to users based on data analysis. These systems

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Repository Management

Repository management refers to the systematic handling and organization of repositories that store and provide access to a wide range of digital assets, such as source code, software packages, and

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Responsible AI

What is Responsible AI? Responsible AI refers to designing, developing, and deploying artificial intelligence systems in a manner that is ethical, fair, and aligned with societal values. It ensures AI

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Retrieval-Augmented Generation (RAG)

What is Retrieval-Augmented Generation? Retrieval-Augmented Generation (RAG) is an advanced technique in artificial intelligence that combines information retrieval with text generation. It enhances the capabilities of generative AI models by

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Runbook Automation

Runbook automation (RBA) refers to using technology to execute predefined procedures or “runbooks” that IT staff traditionally carried out manually. This technology is designed to automate routine, repetitive, and otherwise

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Savings Plan

A savings plan is a cost-reduction pricing model offered by major cloud services providers, such as AWS, Azure, and Google Cloud. It allows businesses to lower their cloud expenses by

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Savings Rate

Savings rate in cloud computing refers to the percentage reduction in costs achieved by optimizing resource usage, selecting cost-efficient pricing models, or utilizing discounts and savings mechanisms offered by cloud

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Self-Supervised Learning

Self-supervised learning is a type of machine learning where models learn to understand data by creating labels from the data itself. Unlike supervised learning, which relies on large amounts of

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Semantic Search

What is Semantic Search? Semantic search is an advanced search technology that improves how queries are processed and understood. Unlike traditional keyword-based search engines, it focuses on meaning, context, and

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Semi-Supervised Learning

What is Semi-Supervised Learning? Semi-supervised learning is a machine learning approach that trains a model using labeled and unlabeled data. It falls between supervised learning, which depends entirely on labeled

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Sentiment Analysis

What Is Sentiment Analysis? Sentiment analysis is a field of natural language processing (NLP) that focuses on determining the emotional tone behind a text. It evaluates whether the expressed sentiment

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Service Level Agreement (SLA)

A Service-Level Agreement (SLA) clearly defines service expectations between providers and consumers. It sets the foundation for performance standards, uptime guarantees, and response times in IT services, particularly cloud computing,

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Site Reliability Engineering (SRE)

Site Reliability Engineering (SRE) has emerged as a crucial discipline to ensure modern applications’ high availability, scalability, and reliability. Initially pioneered by Google, SRE bridges the gap between software development

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Speech-to-Text (STT)

Speech-to-text (STT), also known as Automatic Speech Recognition (ASR), is a technology that converts spoken language into written text. It uses signal processing and machine learning algorithms to analyze audio

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