Standards on English AI Terms Dictionary

Croissant

Sat, 18 Jul 2026 09:52:00 +0000

Definition

Developed as part of the MLCommons initiative, Croissant uses JSON-LD to provide a standardized way to describe datasets, including their structure, citations, and licensing. It aims to solve the fragmentation problem in dataset documentation by creating a universal language for data sharing. This format allows tools and platforms to automatically ingest and understand dataset properties, streamlining the process of finding, loading, and using data for machine learning projects.

Summary

Croissant is an open metadata format for describing datasets, facilitating discoverability and interoperability in AI.

Model Context Protocol

Sat, 18 Jul 2026 09:41:40 +0000

Definition

The Model Context Protocol (MCP) is an open standard that enables AI applications to connect with various data sources, such as databases, APIs, and file systems, in a uniform way. It abstracts the complexity of integration, allowing developers to build portable and interoperable AI assistants. By defining consistent schemas for resource access and tool invocation, MCP reduces vendor lock-in and simplifies the engineering of robust AI integrations.

Summary

A standardized framework designed to facilitate secure and efficient communication between AI models and external data sources or tools.

Benchmark

Sat, 18 Jul 2026 09:30:33 +0000

Definition

In artificial intelligence, a benchmark is a standardized test suite or dataset designed to measure the capabilities of machine learning models. It provides a consistent framework for comparing different algorithms, architectures, or implementations across various tasks such as image classification, natural language processing, or reinforcement learning. Benchmarks ensure reproducibility and allow researchers to track progress over time by establishing objective criteria for success.

Summary

A standard reference point or metric used to evaluate the performance of AI models against established baselines.