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DeepSeek官方原厂
3.7亿/月
免费 / 开源由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
Large Language Models (LLMs)编辑评分：4.8免费增值+4.3%
免费增值
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头对头基准测试
Adept vs Aquin
Adept 记录了 12,261 月访问量，月度环比增长为 -46.3%，定价为定价请咨询。Aquin 记录了 0 月访问量，增长率为 0%，定价为定价请咨询。
Adept 记录了 12,261 月访问量，月度环比增长为 -46.3%，定价为定价请咨询。Aquin 记录了 0 月访问量，增长率为 0%，定价为定价请咨询。
Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents.
用 AI 智能体把自然语言变成真实软件操作的机器学习研究实验室
模型被训练为观察屏幕并在既有软件内完成多步骤操作，而不仅是描述该如何做。
用户用日常语言说明目标，智能体将其转化为具体的点击、输入与导航步骤。
以宽松许可公开发布的语言模型系列，供研究与开发者使用。
自动化覆盖浏览器与桌面工具，使原本互不连通系统之间也能协同。
Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents.
A single base that handles tables, media, annotation and decision tasks, with the option to fine-tune toward your specific data.
Outputs are typed and scored rather than free text, so downstream programs can act on results and escalate low-confidence cases.
Treats attention as a routing map from a single forward pass, isolating a small subgraph aimed at the answer and testing it under ablation.
Agentic weight-editing experiments that localise causal layers, apply rank-one MLP updates and validate then roll back steps when checks fail.
免费 / 开源由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
Muse is Meta's personal AI agent that takes on real everyday tasks — from sorting email and booking reservations to shopping, managing calendars and building fitness plans — using its own secure virtual computer in the cloud.
无需代码，构建自定义 AI 智能体与工作流
前沿 AI 训练所用的环境，以及负责重复性工作的智能体
基于公开网络数据、每条信息可溯源的人物画像搜索
