Sampling Strategies (Top-k, Top-p Sampling)
Sampling strategies are techniques used in language models to determine the next word or token in generated text. They balance randomness and determinism to produce coherent and diverse outputs. Two
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
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
Self-Attention
Self-attention is a technique used in neural networks, especially in transformer models, to help the model understand relationships between words or elements in a sequence. It allows the model to
Self-Consistency Decoding
Self-consistency decoding is a method used in natural language generation to improve the reliability and quality of responses from large language models. Instead of picking the first or most probable
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
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
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
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
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,
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
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
Spot Instances
Spot instances are a pricing model offered by cloud providers such as AWS, Google Cloud, and Microsoft Azure. They allow users to rent unused cloud capacity at a significantly lower
Stateful Workloads
In modern DevOps, managing workloads efficiently is critical for ensuring application stability, scalability, and reliability. Workloads are generally classified into two types: stateless and stateful. While stateless workloads do not
Supervised Learning
What Is Supervised Learning? Supervised learning is a fundamental approach in machine learning where a model learns from labeled data. In this method, the algorithm receives a dataset that includes
Synthetic Data
Synthetic data is artificially generated data that is created using algorithms instead of being collected from real-world events. It mimics the structure, patterns, and characteristics of real data without containing
Temperature (in Sampling)
Temperature is a parameter used in text generation models that controls the randomness or creativity of the output. It affects how the model chooses the next word when generating text
Test-Driven Development (TDD)
In DevOps and modern software development, ensuring code reliability, maintainability, and efficiency is a top priority. Test-driven development (TDD) is one of the most effective methodologies for achieving these goals.
Text Embedding
Text embedding is a Natural Language Processing (NLP) technique that transforms text, be it words, phrases, sentences, or an entire document, into numerical vectors. These vectors are crafted to capture
Text Embeddings
What Are Text Embeddings? Text embeddings convert words, phrases, sentences, or entire documents into numerical representations, making it easier for machines to process language. Unlike traditional text-processing methods that rely
