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HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants

Research article (Frontiers in Computer Science, 2024) · cited 18× · AI/ML
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HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants

Summary

HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants is a scholarly article[1].

Key Facts

  • HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants. Retrieved May 24, 2026, from https://4ort.xyz/entity/hi-tam-a-hybrid-intelligence-framework-for-training-and-adoption-of-generative-design-assistants
MLA “HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hi-tam-a-hybrid-intelligence-framework-for-training-and-adoption-of-generative-design-assistants.
BibTeX @misc{4ortxyz_hi-tam-a-hybrid-intelligence-framework-for-training-and-adoption-of-generative-design-assistants_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants}}, year = {2026}, url = {https://4ort.xyz/entity/hi-tam-a-hybrid-intelligence-framework-for-training-and-adoption-of-generative-design-assistants}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants — https://4ort.xyz/entity/hi-tam-a-hybrid-intelligence-framework-for-training-and-adoption-of-generative-design-assistants (retrieved 2026-05-24)

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