Evaluation

LLM evaluation measures whether a model or AI workflow is accurate, useful, safe, reliable, and cost-effective for a target task.

Machine Learning

A subset of AI that enables systems to learn from data and improve over time.

Agents

An MCP server exposes tools, data sources, prompts, or workflows to AI clients through the Model Context Protocol.

Agents

Model Context Protocol, or MCP, is a standard interface for connecting AI applications to external tools, data sources, and context providers.

Machine Learning Operations

The process of making a trained machine learning model available for use in a production environment.

Model Assessment

The process of assessing a trained model's performance using various metrics.

Machine Learning

The process of teaching a machine learning model to make predictions based on data.

optimization

Techniques for reducing the size and complexity of machine learning models while maintaining performance.

machine-learning

The process of understanding and explaining the predictions made by a machine learning model.

modeling

The process of training a machine learning model using data.

Models

Multimodal AI works with more than one data modality, such as text, images, audio, video, documents, or structured data.

Artificial Intelligence

The field of AI that focuses on the interaction between computers and human language.

Machine Learning

A computational model inspired by the way biological neural networks in the human brain work.

information-theory

A method for encoding data to protect against errors during transmission over noisy channels.

data-quality

Labels in a dataset that are inaccurate or wrong, often leading to misguidance in model training.

machine learning

A machine learning approach that enables a model to learn information about object categories from a single training example.

Knowledge Representation

Formal representations of a set of concepts within a domain and the relationships between those concepts.

Knowledge Representation

An ontology is a formal representation of a set of concepts within a domain.

machine learning

The ability of a model to perform well on unseen data that is different from the training set.

Modeling

A modeling error that occurs when a model learns noise and details from the training data.

Safety

Prompt injection is an attack or failure mode where untrusted text tries to override system instructions or steer a model into unsafe behavior.

Quantum Physics

A physical phenomenon occurring when pairs or groups of particles interact in such a way that the quantum state of each particle cannot be described independently.

Disaster Recovery

A metric that defines the maximum acceptable amount of data loss measured in time for a system after a failure.

Model Evaluation

The ability of a model to maintain performance despite variations in input data or conditions.