ASI-1 mini：fetch.ai启动了第一个Web3本地大语言模型（LLM），以促进自主代理工作流程

Fetch.ai Inc.是人工无效（ASI）联盟的创始成员之一，已推出ASI-1 Mini，这是第一个Web3本地大语模型（LLM）

Artificial Superintelligence (ASI) Alliance founding member Fetch.ai Inc., has unveiled ASI-1 Mini, the first Web3-native large language model (LLM) designed to promote autonomous agent workflow, as reported to Finbold on Tuesday, February 25.

人工超级智能（ASI）联盟创始成员Fetch.ai Inc.已揭幕了ASI-1 Mini，这是第一个旨在促进自主代理工作流程的Web3本地大语言模型（LLM），如2月25日星期二向Finbold报道。

The model, powered by the FET token through ASI wallet integration, marks the beginning of the ASI:

该模型由FET令牌通过ASI钱包的整合提供动力，标志着ASI的开始：

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The AI model is immediately accessible to FET holders, as part of a tiered freemium model.

作为分层免费增值模型的一部分，FET持有人可以立即访问AI模型。

ASI-1 Mini

ASI-1 mini

Featuring four dynamic reasoning modes — Multi-Step, Complete, Optimized, and Short Reasoning — ASI-1 Mini promises advanced adaptive reasoning and context-aware decision-making.

ASI-1 Mini具有四种动态推理模式 - 多步，完整，优化和简短的推理 - 承诺先进的自适应推理和上下文感知的决策。

According to Humayun Sheikh, Fetch.ai CEO and ASI Alliance chairman, ASI-1 Mini will lay the foundation for a new decentralized ecosystem:

根据Humayun Sheikh，Fetch.ai首席执行官兼ASI联盟主席的说法，ASI-1 Mini将为一个新的分散生态系统奠定基础：

“ASI-1 Mini is the first major product from the ASI Alliance’s innovation stack, marking the beginning of the ASI:

“ ASI-1 Mini是ASI联盟创新堆栈中的第一个主要产品，标志着ASI的开始：

rollout and a new era of community-owned AI. … ASI-1 Mini is just the start — over the coming days, we will be rolling out advanced agentic tool-calling, expanded multi-modal capabilities, and deeper Web3 integrations.”

推出和社区拥有的AI的新时代。 …ASI-1 Mini仅仅是开始 - 在接下来的几天里，我们将推出高级代理工具称呼，扩展的多模式功能和更深的Web3集成。”

Instead of relying on a more traditional monolithic approach, ASI-1 Mini dynamically selects specialized AI models optimized for specific tasks.

ASI-1 Mini不依赖更传统的整体方法，而是动态选择针对特定任务优化的专业AI模型。

With this system, comprising a foundational intelligence layer (i.e., ASI-1 Mini itself), a specialized model marketplace (MoM Marketplace), and a network of action-driven agents, the model enhances execution capabilities across a wide range of unique applications.

借助该系统，包括基础智能层（即，ASI-1 Mini本身），专门的模型市场（MOM Marketplace）以及一个以动作驱动的代理网络的网络，该模型可以增强广泛独特应用程序的执行能力。

High GPU-efficiency

高GPU效率

ASI-1 Mini is designed to deliver enterprise-grade AI performance while operating on just two graphical processing units (GPUs).

ASI-1 MINI旨在在仅使用两个图形处理单元（GPU）操作时提供企业级AI性能。

The benchmark results of the approach include greater hardware efficiency (up to x8), lower infrastructure costs, and increased scalability.

该方法的基准结果包括更高的硬件效率（最高X8），较低的基础设施成本以及可扩展性的提高。

On the Massive Multitask Language Understanding benchmark, ASI-1 Mini was also able to match or outperform leading AI models in domains such as medical sciences, history, and business analytics.

在大规模的多任务语言理解基准上，ASI-1 MINI还能够匹配或超越医学科学，历史和业务分析等领域的领导AI模型。

Soon, the model will be expanded with an extended context window, allowing it to process larger amounts of information (up to ten million tokens as opposed to the initially supported one million).

很快，该模型将通过扩展的上下文窗口扩展，从而使其可以处理大量信息（与最初支持的一百万个相比，最多一千万个令牌）。

Addressing the black-box problem

解决黑框问题

In addition to tackling performance issues, ASI-1 Mini will also help address the black-box problem in AI.

除了解决绩效问题外，ASI-1 MINI还将有助于解决AI中的黑盒问题。

Unlike traditional models, which generate responses without explaining how they came up with them, ASI-1 relies on multi-step reasoning, allowing for real-time self-correction and improved decision-making transparency.

与传统模型不同，它在没有解释它们如何提出的情况下产生了响应，ASI-1依赖于多步推理，可以实时自我纠正和提高决策透明度。

This is crucial in industries such as healthcare, where precision and clarity are of utmost importance.

这对于医疗保健等行业至关重要，在医疗保健中，精度和清晰度至关重要。

The ASI:

SI：

initiative

倡议

As mentioned, ASI-1 Mini plays a central role in the ASI:

如前所述，ASI-1迷你在ASI中起着核心作用：

initiative set to empower the Web3 community and encourage end-users to participate in AI development directly.

旨在增强Web3社区并鼓励最终用户直接参与AI开发的倡议。

Through a decentralized compute network, users can stake, train, and own their own AI models so that the financial rewards of AI advancements can be distributed more fairly.

通过分散的计算网络，用户可以利用，培训和自己的AI模型，以便可以更公平地分发AI进步的财务回报。

ASI-1 Minialso promises real-time execution, autonomous workflows, scalable deployment with minimal computational overhead, and enhanced knowledge representation.

ASI-1 Minialso承诺实时执行，自主工作流，可扩展的部署，并以最少的计算开销和增强的知识表示。

Users will, therefore, soon be able to deploy AI agents capable of executing real-world tasks ranging from accommodation booking to managing more intricate financial transactions.

因此，用户将很快能够部署能够执行现实世界任务的AI代理，从住宿预订到管理更复杂的财务交易。