focusing on the ~1.5K mainline open models from the likes of Alibaba's Qwen, DeepSeek, Meta's Llama
报告聚焦于包括阿里巴巴Qwen、DeepSeek和Meta Llama等主要模型,这些模型代表了不同国家和组织的战略重点。这种选择暗示了这些模型在生态系统中的核心地位,以及它们可能代表的不同的AI发展路径。
focusing on the ~1.5K mainline open models from the likes of Alibaba's Qwen, DeepSeek, Meta's Llama
报告聚焦于包括阿里巴巴Qwen、DeepSeek和Meta Llama等主要模型,这些模型代表了不同国家和组织的战略重点。这种选择暗示了这些模型在生态系统中的核心地位,以及它们可能代表的不同的AI发展路径。
focusing on the ~1.5K mainline open models from the likes of Alibaba's Qwen, DeepSeek, Meta's Llama
令人惊讶的是:开源语言模型生态系统已经发展出约1500个主流模型,其中包括阿里巴巴的Qwen、DeepSeek和Meta的Llama等知名模型。这一数字表明,开源AI领域已经形成了相当规模和多样性的生态系统,远超许多人的想象。
While some experts have speculated that general models will win out in performance over specialized models—that scale and compute will beat curation—the success of these companies shows that the market is making a more nuanced bet.
市场正在形成一种更微妙的AI发展路径认知,表明通用模型与专业化模型可能在不同场景下各有优势。这种市场分歧暗示AI领域可能不会出现单一赢家,而是形成多元化发展格局。
locally-based staff and carries out its programs in conjunction with local partners. Teams of international instructors and volunteers support the programs through projects year-round.
So many good features in your project!
Employing local staff that know the setting and can be role models for the kids.
Supporting mentoring by volunteers to scale.
Working with bodies to get a visceral experience that change is possible.
Mentoring in groups to build a community.
Spotlighting diversity and building bridges beyond the local community.
Some related resources: Ballet dancer from Kibera
Fighting poverty and gang violence in Rio's favelas with ballet
Yasseri, T., & Menczer, F. (2021). Can the Wikipedia moderation model rescue the social marketplace of ideas? ArXiv:2104.13754 [Physics]. http://arxiv.org/abs/2104.13754
Stewart, A. J., McCarty, N., & Bryson, J. J. (2020). Polarization under rising inequality and economic decline. Science Advances, 6(50), eabd4201. https://doi.org/10.1126/sciadv.abd4201
Aminpour, P., Gray, S. A., Singer, A., Scyphers, S. B., Jetter, A. J., Jordan, R., Murphy, R., & Grabowski, J. H. (2021). The diversity bonus in pooling local knowledge about complex problems. Proceedings of the National Academy of Sciences, 118(5). https://doi.org/10.1073/pnas.2016887118