大型、通用云AI模型的运营成本不可持续，这预示着它们的终结。市场越来越倾向于在本地化上下文中训练的小型、更高效的模型。 AI
影响 转向小型、高效模型的趋势可能会减少对大型云提供商的依赖，并促进专业AI应用的创新。
排序理由 该条目是一篇社交媒体帖子，表达了对AI模型未来的一种看法。
在 Mastodon — fosstodon.org 阅读 →
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
大型AI模型因高成本和转向本地化上下文而面临淘汰
报道来源 [1]
-
@ ErikJonker They won’t survive—their operational costs are simply too high. On top of that, massive, generic cloud models are losing their edge. The market is
@ ErikJonker They won’t survive—their operational costs are simply too high. On top of that, massive, generic cloud models are losing their edge. The market is shifting toward smaller, efficient models trained on local context. # ai # SLM