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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.02489 |
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| _version_ | 1866908350369759232 |
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| author | Goyal, Muskaan Bhasin, Pranav |
| author_facet | Goyal, Muskaan Bhasin, Pranav |
| contents | With the launch of foundation models like DeepSeek, Manus AI, and Llama 4, it has become evident that large language models (LLMs) are no longer the sole defining factor in generative AI. As many now operate at comparable levels of capability, the real race is not about having the biggest model but optimizing the surrounding ecosystem, including data quality and management, computational efficiency, latency, and evaluation frameworks. This review article delves into these critical differentiators that ensure modern AI services are efficient and profitable. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_02489 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Beyond the model: Key differentiators in large language models and multi-agent services Goyal, Muskaan Bhasin, Pranav Artificial Intelligence Emerging Technologies Multiagent Systems Software Engineering With the launch of foundation models like DeepSeek, Manus AI, and Llama 4, it has become evident that large language models (LLMs) are no longer the sole defining factor in generative AI. As many now operate at comparable levels of capability, the real race is not about having the biggest model but optimizing the surrounding ecosystem, including data quality and management, computational efficiency, latency, and evaluation frameworks. This review article delves into these critical differentiators that ensure modern AI services are efficient and profitable. |
| title | Beyond the model: Key differentiators in large language models and multi-agent services |
| topic | Artificial Intelligence Emerging Technologies Multiagent Systems Software Engineering |
| url | https://arxiv.org/abs/2505.02489 |