Welcome to Collective AI on the Foundation AI(CAFA) Generative AI Engineering Platform!
What is CAFA Platform?
CAFA platform (CAFA Lab, Inc., 2012) is is a comprehensive AI engineering platform designed for the development, deployment, and management of generative AI applications. Built upon the Collective AI on the Foundation AI (CAFA) framework, the platform integrates various AI technologies to provide developers with powerful tools for creating intelligent applications. Collaborating closely with the CAFA Community and leveraging the CAFA Token economy, the platform fosters active participation and continuous innovation. This synergy makes the CAFA Platform a powerful tool for developers looking to leverage generative AI technology in a streamlined and efficient manner.
CAFA platform will evolve into a full-scale assessment tool including below functionalities:
- assembling assessments with generated items
- deploying the assessments to collect response data in both on- and off-line modes
- conducting advanced psychometric analyses with the collected data
Reference:
Choi, J., Kim, S., & Yoon, K. (2012-present). Collective AI on the Foundation AI (CAFA) Platform: [Digital Platform]. CAFA Lab, Inc.
What is CAFA Framework?
Collective AI on the Foundation AI (CAFA; Choi, 2024) is a comprehensive framework for building intelligent, scalable, and adaptable applications. By leveraging a layered architecture that integrates symbolic AI, machine learning, and generative AI—structured through an Ontology Model that is both human and machine friendly—CAFA provides a blueprint for the development of advanced systems. The Ontology Model’s role in facilitating Ontology-Model Centered Generation (OMG) ensures that the system overcomes the limitations of both Rule-based Generation and Language-Model Only Generation, resulting in enhanced collective intelligence capable of driving digital transformation.
Reference:
Choi, J. (2024). Collective AI on the Foundation AI: The pathway of digital transformation of intelligence (in press). CAFA Lab, Inc.
What is CAFA Lab, Inc?
CAFA Lab, Inc. is a research and development organization focused on advancing artificial intelligence through the integration of Collective AI and Foundation AI. The lab spearheads initiatives such as the CAFA Framework, which provides a theoretical foundation for building scalable, adaptive, and intelligent AI systems, and the CAFA Platform, a comprehensive digital platform for developing, deploying, and managing generative AI applications.
The lab’s mission is to transform AI engineering by leveraging symbolic AI, machine learning, generative AI, and ontology-driven processes to create systems that drive digital transformation and foster collective intelligence. CAFA Lab also fosters community collaboration through its CAFA Community and CAFA Token economy, encouraging active participation and innovation in AI development.
Primary Activities of CAFA Lab, Inc.
Research:
- Development of the CAFA Framework, integrating symbolic AI, machine learning, generative AI, and ontology-driven models.
- Advancing AI methodologies like Ontology-Model Centered Generation (OMG) and transitioning from psychometrics to Mechmetrics for dynamic and adaptive assessment tools.
- Exploring emerging technologies such as IoT, blockchain, and quantum computing for future-ready AI solutions.
Development:
- Building the CAFA Platform for the creation, deployment, and management of generative AI applications.
- Establishing modular architectures, middleware, and high-performance computing resources for seamless integration and scalability.
- Supporting industry-specific applications across sectors like healthcare, education, and finance with robust and adaptable AI solutions.
Training:
- Implementation of the Teacher Empowered Assessment (TEA) framework to empower educators with digital skills and adaptive teaching tools.
- Providing low-code environments and pre-built templates for developers to easily create and manage AI applications.
- Facilitating training programs, tutorials, and resources to build digital competencies among educators and developers.
Community Engagement:
- Building a collaborative ecosystem through the CAFA Community, which includes developers, researchers, and end-users.
- Incentivizing innovation and participation via the CAFA Token economy.
- Hosting events, hackathons, and research collaborations to foster continuous improvement and knowledge sharing within the community.
What is Assessment Engineering?
Assessment Engineering(AE: Bejar, 1993; Embretson & Yang, 2007; Gierl & Haladyna, 2013; Irvine & Kyllonen, 2002) is an assessment theory and practice that integrates cognitive science with digital technologies for futuristic digital assessments. AE provides innovative solutions to overcome the shortcomings of the traditional analogous approach in which human writers manually create, review, revise, and analyze individual items which is a slow, expensive, and often subjective procedure.
The essence of AE is Automatic Item Generation(AIG) or Computerized Item Modeling(CIM) which is an approach to program Item Models for Machine to strategically generate a large amount of high-quality digital items and assessments for various digital learning contents and services. AIG is a symbolic technique/theory of the initial step, the so-called “item-to-item model” transition, for the digital transformation of assessment and education. (Choi, 2017)
Click on the links below to learn more about CAFA engine AIG capability.
- Sample Item Models: Sample Item Models developed by CAFA Platform
- Subscriptions: Subscription Versions of CAFA Platform
- CAFA Platform Yearly Subscription – Premium
- CAFA Platform Yearly Subscription – Standard
- CAFA Platform Year Subscription – Personal
- Training: Training about CAFA Platform
- References: References for CAFA, AE, and AIG