Designing Multi-Step Action Models for Enterprise AI Adoption
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910377895264256 |
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| author | Mishra, Shreyash Shah, Shrey Pereira, Rex |
| author_facet | Mishra, Shreyash Shah, Shrey Pereira, Rex |
| contents | This paper introduces the Multi-Step Action Model (MSAM), a closed-source AI model designed by Empsing to address challenges hindering AI adoption in enterprises. Through a holistic examination, this paper explores MSAM's foundational principles, design architecture, and future trajectory. It evaluates MSAM's performance via rigorous testing methodologies and envisions its potential impact on advancing AI adoption within organizations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_14645 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Designing Multi-Step Action Models for Enterprise AI Adoption Mishra, Shreyash Shah, Shrey Pereira, Rex Computers and Society Artificial Intelligence 68T42 I.2.1; I.2.8 This paper introduces the Multi-Step Action Model (MSAM), a closed-source AI model designed by Empsing to address challenges hindering AI adoption in enterprises. Through a holistic examination, this paper explores MSAM's foundational principles, design architecture, and future trajectory. It evaluates MSAM's performance via rigorous testing methodologies and envisions its potential impact on advancing AI adoption within organizations. |
| title | Designing Multi-Step Action Models for Enterprise AI Adoption |
| topic | Computers and Society Artificial Intelligence 68T42 I.2.1; I.2.8 |
| url | https://arxiv.org/abs/2403.14645 |