function
Adapt a model
Adjust a pretrained model for a new task or domain using additional training.
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Start with a function: the outcome you want. Follow its links to possible methods, tools, models, and guidance. The collection is selective and source-backed.
57 records
Outcomes you need to achieve.
function
Adjust a pretrained model for a new task or domain using additional training.
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Identify corresponding concepts across separate vocabularies or ontologies.
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Apply human judgments or labels to source material for downstream use.
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Produce a text answer to a question grounded in one or more supplied images.
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Evaluate stated conditions against facts to produce a defined decision or action.
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Identify and manage risks in the context of an AI system’s intended use.
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Define and revise formal domain concepts, relations, and constraints.
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Describe and publish datasets so people can find and assess their resources.
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Assess whether supplied text appears to violate a supplied safety policy.
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Assign categories to rows using structured feature columns.
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Bring results from term matching and vector similarity into one ranked candidate set.
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Generate spoken responses to incoming speech and conversational context.
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Run related tasks with explicit ordering, state, and operational handling.
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Evaluate request context against explicit policy to return a permission decision.
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Give recurring concepts stable names and relationships so people and systems interpret them consistently.
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Make an HTTP service’s operations and inputs understandable to callers.
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Identify spans or fields that may contain personal or other sensitive information.
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Find datasets, dashboards, and pipelines through searchable descriptive metadata.
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Transform supplied images according to text instructions or reference images.
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Convert an input into a representation suitable for a later operation.
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Transform multichannel physiological sensor time series into representations for downstream analysis.
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Assess behavior against stated criteria and document the evidence.
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Recover text or metadata from documents for downstream use.
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Find duplicate records within one dataset or records across datasets that may describe the same person, organization, or other entity.
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Predict future values from observed time-indexed measurements.
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Create image content from an input prompt or conditioning signal.
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Create musical audio from a description, composition instructions, or supported reference audio.
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Create sound effects and ambient audio from descriptions of sounds or events.
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Produce text conditioned on an input or instruction.
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Create moving-image content from an input prompt or conditioning signal.
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Derive graph statements entailed by explicit facts and ontology axioms.
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Call a declared tool through an application-controlled interface and handle its result.
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Keep short-lived session state available across related requests.
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Copy selected records between source and destination systems for downstream use.
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Make inconsistent values and structures more consistent before reuse.
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Collect signals that help explain what the running system did and where it failed.
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Keep records reliably so they can be retrieved and updated later.
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Estimate physical properties of an atomic structure from its atoms and geometry.
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Produce a robot-control action from visual observations and an instruction.
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Turn a language instruction and perceived tabletop scene into symbolic manipulation steps and target sub-goals.
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Find facts and patterns in graph data using structured graph queries.
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Find connected entities and paths using property-graph patterns.
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Turn visible text in images into machine-readable characters.
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Capture the origin and transformation history of information used by a system.
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Redact or mask selected personal information in text before it is reused or shared.
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Express decision criteria and their inputs in a form people can inspect and maintain.
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Express entities, concepts, and their relationships in a form a system can interpret.
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Score candidate results against a query to reorder retrieval results.
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Find documents that match terms in a query and rank matching results.
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Find stored material related to the meaning of a query.
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Identify object regions in images or video frames.
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Expose a model through a request endpoint for application use.
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Evolve an atmospheric state over time using a bounded simulation model.
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Run a computational model to explore how a specified system evolves.
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Generate spoken audio from text input.
function
Convert spoken audio into written language.
function
Check whether data conforms to explicit structural constraints.
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41 records
Methods for pursuing an outcome.
approach
Model how local rules for individual agents can produce system-level behavior over time.
approach
Use a structured framework to identify, measure, and manage AI risks.
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Describe HTTP operations, parameters, and data shapes in a shared interface format.
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Use source and destination connectors to copy selected streams across systems.
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Organize concepts with preferred labels and explicit semantic relationships.
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Match node and relationship patterns in a property graph using Cypher.
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Maintain dataset descriptions and resource pointers as searchable, governed entries.
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Describe decision requirements and logic using explicit diagrams or tables.
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Compare encoded representations to locate nearby indexed items.
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Apply chosen redaction, masking, or replacement operators to identified sensitive spans in text.
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Detect and extract content or metadata from supported file formats.
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Run explicit assertions about data properties against selected datasets.
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Store session-scoped values under keys with explicit expiration.
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Index document terms and match them against text queries.
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Collect labels from people and optionally use model suggestions to assist them.
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Combine lexical matching with vector similarity and fuse or rerank candidates.
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Review and transform inconsistent values through an inspectable sequence of edits.
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Record request-level model, retrieval, and tool steps as linked observations.
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Run a model on a user-controlled machine and expose a local inference endpoint.
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Train low-rank adapter matrices for selected model weights.
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Search indexed metadata across multiple asset types and systems.
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Run a deployed model behind an API that applications can call.
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Apply defined RDF/OWL semantics to derive implied statements from graph facts.
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Compare entities from separate ontologies to propose semantic correspondences.
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Analyze image pixels to recognize visible text characters.
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Edit an OWL ontology through a structured visual development environment.
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Train a limited set of parameters or adapters while keeping most base weights fixed.
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Evaluate structured requests against declarative policy outside application business logic.
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An entity-resolution method that scores multiple record attributes to estimate which records refer to the same entity.
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Represent how entities, activities, and agents relate to the origin of information.
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Check an RDF data graph against explicit graph-shaped constraints.
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Store structured records with relations and query them through a database system.
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Match input facts against declared rule conditions and execute applicable outcomes.
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Record which jobs and datasets participated in a data-processing run.
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Apply explicit structural rules to identify records that do not conform.
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Use recognizers to find possible sensitive entities before review or masking.
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Use graph patterns to retrieve and combine facts from RDF datasets.
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Emit traces, metrics, and logs from a running system for later analysis.
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Run representative inputs and score application outputs against defined criteria.
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Expose named tools through a defined client-server interface.
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Coordinate and observe tasks that make up a repeatable process.
No records of this type are linked to the selected area.
33 records
Software and services that put methods to work.
implementation
Ontology matching tool that proposes alignments between separate ontologies.
implementation
Free open-source Airbyte data-replication platform for deployment in your own infrastructure.
implementation
JavaScript validator that compiles JSON Schemas into validation functions.
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Managed graph database service with an RDF/SPARQL interface.
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Server that publishes RDF datasets for SPARQL queries.
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Software for detecting and extracting text and metadata from many file types.
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Open-source platform for publishing and finding datasets with metadata, resources, and organization controls.
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Self-hosted open-source metadata platform for discovering data assets.
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Open-source document conversion toolkit with PDF layout and table-structure processing and structured exports.
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Rule engine for evaluating declared business rules against facts.
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Self-managed licensed RDF graph database with configurable rule-based inferencing.
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Python library for defining data expectations and running validation workflows.
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Python library for parameter-efficient model adaptation, including LoRA.
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Data-labeling application for human annotation across several data types.
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Application tracing platform for LLM calls, retrieval, and tool steps.
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Self-managed property-graph database with Cypher querying.
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Programmable environment for building and running multi-agent simulations.
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Locally installed Ollama runtime for downloading and serving supported models.
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Open-source engine that evaluates structured input against policy and returns decisions.
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Tool for cleaning, transforming, and reconciling tabular data.
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Toolkit for instrumenting systems and exporting traces, metrics, and logs.
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PostgreSQL extension for exact and approximate vector similarity search.
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Open-source relational database for structured storage and queries.
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Workflow orchestration software for building and operating task flows.
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Open-source components for sensitive-data detection and anonymization.
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Open-source CLI and library for LLM application evaluation and red teaming.
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Standalone editor for developing and reviewing OWL 2 ontologies.
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Vector search engine used to index and retrieve representations.
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Open-source Python package for probabilistic linkage and deduplication of records without unique identifiers.
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Open-source engine for recognizing printed text in images.
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Open-source in-memory key-value store with expiring keys.
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Inference engine with an HTTP server for supported model capabilities.
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Browser-based collaborative editor for OWL 2 ontologies.
No records of this type are linked to the selected area.
12 records
Published specifications and guidance.
standard
OMG specification for describing business decisions and decision logic.
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Specification for describing and validating the structure of JSON data.
standard
Versioned protocol defining how servers expose prompts, resources and tools.
framework
A voluntary framework for managing risks in AI systems.
framework
A cross-sectoral profile for applying the AI Risk Management Framework to generative AI risks.
standard
Specification for describing HTTP APIs in a language-independent form.
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Open specification for metadata about data-processing jobs, runs and datasets.
standard
Developing conventions for recording generative-AI spans, metrics, and events.
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W3C ontology for expressing provenance information.
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W3C language for validating RDF graphs against stated shapes.
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Vocabulary for sharing concept schemes, labels, and semantic relationships.
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W3C query language for retrieving patterns from RDF graph data.
No records of this type are linked to the selected area.