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MPAI-TFA V1.2 Technical Specification |
Data Types, Formats and Attributes (MPAI-TFA) is a project developing Technical Specifications of Qualifier, a Data Type composed of for Sub-Types, Formats, and Attributes associated to a Data Type with the goal to facilitate or even enable operation of an AI Module receiving data of a specific Data Type.
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What MPAI-TFA is about
MPAI-TFA V1.2 specifies Qualifiers, a Data Type composed of Sub-Types, Formats, and Attributes of “Media”, “Metaverse”, and Machine Learning Model Data Types for unified use across MPAI Technical Specifications.
MPAI-TFA V1.2 Technical Specification (pdf)
MPAI thanks Mattia Bergagio and Francesco Gallo who participated in the development of MPAI-TFA V1.1.
MPAI-TFA V1.1 Technical Specification
MPAI thanks Seunggeun Baek, Andrea Bottino, Gérard Chollet, Alessandro D’Amelio, Hüseyin Hacıhabiboğlu, Marian Alexandru Ilies, and Panos Kudumakis who participated in the development of MPAI-TFA V1.1.
MPAI-TFA V1.0 Technical Specification
The capabilities of the MPAI-TFA V1.0 standard were presented online on August 27 at T14:00 UTC.
MPAI thanks Seunggeun Baek, Marina Bosi, Andrea Bottino, Miran Choi, Mert Burkay Çöteli, Gérard Chollet, Alessandro D’Amelio, Hüseyin Hacıhabiboğlu, Marian Alexandru Ilies, Mark Seligman, and Jaime Yoon who participated in the development of MPAI-TFA V1.0.
