Segments

AI Platforms & Models

This cluster consolidates concepts, platforms, and practices around AI models and their operational environments.

Model order
  1. Knowledge domains
  2. /Thematic areas
  3. /Segments
  4. /Building blocks
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Segment
Type
Classification
ConceptDeployment

Model APIs

Model APIs expose ML models via standardized interfaces and simplify integration, versioning and scaling of inference services.

#AI#Architecture
ConceptDeployment

Self-Hosted Models

Deploying and operating ML/AI models on private infrastructure instead of managed cloud services, focusing on control, data sovereignty, latency and compliance.

#Machine Learning#Platform
MethodEvaluation

Model Evaluation

Systematic assessment of machine learning models using metrics, validation techniques and error analysis to decide on deployment readiness.

#Machine Learning#Analytics
MethodEvaluation

Prompt Evaluation

A structured method for systematically evaluating prompts for AI models using clear metrics, test cases, and ranking criteria.

#AI#Quality Assurance
ConceptIntegration

API Integration

Concept for connecting applications and services via defined interfaces to automate and coordinate data and process flows.

#Integration#Architecture
ConceptIntegration

Model Orchestration

Coordination and control of the lifecycle and production deployment of machine learning models across platforms.

#Machine Learning#Platform
ConceptModel Types

Foundation Models

General concept of large pretrained AI models that serve as a base for various applications.

#AI#Machine Learning
ConceptModel Types

Large Language Model (LLM)

A large language model is an AI model based on the processing and generation of natural language.

#AI#Machine Learning