Tag: AI
28 items found
Blog Posts
Glossary Terms
Agentic AI
Agentic AI is an AI approach where systems plan tasks, use tools, and adjust their next steps instead of producing a single reply.
AI Agent
An AI agent is a software component that uses an LLM, tools, and data sources to plan steps and complete a defined goal.
AI Guardrails
AI guardrails are control layers that constrain model inputs, outputs, and tool use against safety, policy, and quality rules.
Anomaly Detection
Anomaly detection automatically flags transactions, metrics, or events that fall outside the normal range learned from past behavior.
Artificial Intelligence (AI)
Artificial intelligence uses data-driven models to classify, predict, generate content, or support decisions in software systems.
Chunking
Chunking splits long text into meaningful, manageable passages that search and RAG systems can retrieve accurately.
Computer Vision
Computer vision combines AI and image processing to extract objects, text, defects, or motion from photos, video, and camera feeds.
Context Window
A context window is the total token capacity a language model can read and consider while generating one response in a single request.
Deep Learning
Deep learning uses multi-layer neural networks to learn patterns from large datasets for vision, language, audio, and prediction tasks.
Embedding
An embedding represents text, images, products, or other data as numeric vectors that can be compared for semantic similarity.
GitHub Copilot
GitHub Copilot is an AI developer assistant that suggests code, tests, and explanations directly inside supported editors.
Hallucination (AI)
AI hallucination is when a model produces information that sounds plausible but is false, unsupported, or not grounded in the source.
Hyperautomation
Hyperautomation combines RPA, AI, process mining, and integrations to automate end-to-end business processes across multiple systems.
Intelligent Automation
Intelligent automation adds AI to rule-based workflows to automate document, message, classification, and decision processes.
Knowledge Graph
A knowledge graph models entities such as people, products, documents, and processes with relationships that systems can query.
LLMOps
LLMOps is the practice of testing, monitoring, versioning, and safely operating applications built on large language models.
ML Model Deployment
Model deployment turns a trained machine learning model into an API, batch job, or edge service that runs on production data.
MLOps
MLOps manages machine learning data, training, deployment, monitoring, and retraining with production engineering discipline.
Model Context Protocol (MCP)
Model Context Protocol lets AI applications connect to tools, files, and external systems through a shared context interface.
Multimodal AI
Multimodal AI can understand and generate across data types such as text, images, audio, video, and structured tables.
Prompt Engineering
Prompt engineering designs instructions, context, examples, and constraints so language models produce more useful, consistent, and reviewable output.
Prompt Injection
Prompt injection is an attack where user or external content tries to override hidden instructions and steer an AI model.
Recommendation Engine
A recommendation engine ranks products, content, or actions for each user based on behavior, item features, and context.
Reranking
Reranking re-scores an initial result set with a stronger model so the most relevant documents move to the top reliably.
Semantic Search
Semantic search finds relevant results by comparing the meaning of queries and content, not only matching exact keywords.
Synthetic Data
Synthetic data is generated to mimic real data's statistical properties for testing, analysis, and machine learning training.
Token (LLM)
A token is a word, subword, character, or symbol unit that language models process, shaping context size, cost, and speed.