fetch.ai和創新的ASI-1 mini：為Web3世界設計的可擴展LLM

Fetch.ai已宣布推出ASI-1 Mini，這是一種新的大型語言模型（LLM），為Web3設計。與已經存在的其他LLM相比

Fetch.ai has announced the launch of ASI-1 Mini, a new large language model (LLM) designed for Web3. The model is optimized for integration with blockchain-based applications and offers lower infrastructure costs compared to other LLMs in the decentralized space.

Fetch.ai已宣布推出ASI-1 Mini，這是一種新的大型語言模型（LLM），為Web3設計。該模型通過與基於區塊鏈的應用程序集成而進行了優化，並且與分散空間中的其他LLM相比，基礎架構成本較低。

ASI-1 Mini is designed to be highly scalable, thanks to its architecture based on the Mixture of Experts (MoE) framework. The model can adapt to different business needs and grow flexibly, handling increasingly complex tasks. This makes it an ideal solution for a wide range of applications, from small businesses to more complex corporate realities.

ASI-1 Mini的設計為高度可擴展的，這要歸功於其基於專家（MOE）框架的混合物的架構。該模型可以適應不同的業務需求並靈活增長，從而處理越來越複雜的任務。這使其成為廣泛應用程序的理想解決方案，從小型企業到更複雜的公司現實。

The modular approach also allows enterprise-level AI to reach a broader audience at affordable costs. In particular, ASI-1 Mini can be used for activities such as data analysis, business process automation, virtual assistance, and decision optimization, offering advanced tools for various sectors.

模塊化方法還允許企業級AI以負擔得起的成本吸引更廣泛的受眾。特別是，ASI-1 MINI可用於數據分析，業務流程自動化，虛擬協助和決策優化等活動，為各個部門提供高級工具。

ASI-1 Mini also addresses the “black-box problem” common in traditional AI models, where they make complex decisions without providing explanations. The model is designed to operate with continuous multi-stage reasoning, allowing for real-time monitoring and correction of decisions.

ASI-1 MINI還解決了傳統AI模型中常見的“黑框問題”，它們在不提供解釋的情況下做出複雜的決定。該模型旨在通過連續的多階段推理運行，從而實時監視和糾正決策。

While the model does not completely eliminate opacity, it provides more detailed and accessible explanations compared to other competitor solutions.

儘管該模型並未完全消除不透明度，但與其他競爭對手解決方案相比，它提供了更詳細且可訪問的解釋。

ASI-1 Mini is offered for free to FET token holders, who can access the model's basic AI features. This freemium integration aligns with Fetch.ai's Web3 freemium experience.

ASI-1 Mini可以免費提供給FET令牌持有者，他們可以訪問該模型的基本AI功能。這種免費增值的集成與fetch.ai的Web3免費增值體驗保持一致。

FET holders can also participate in the training and optimization of AI models through the ASI: platform. This enables users to contribute to the growth of the AI ecosystem by training specific models for different applications and sharing the results with the community.

FET持有人還可以通過ASI：平台參與AI模型的培訓和優化。這使用戶能夠通過培訓特定的應用程序並與社區共享結果來為AI生態系統的增長做出貢獻。

In turn, users can earn rewards in tokens, thus creating a virtuous circle that stimulates adoption and innovation in Web3.

反過來，用戶可以在代幣中獲得獎勵，從而創建一個良性圈子，以刺激Web3中的採用和創新。

ASI-1 Mini is further designed to interact with autonomous agents in the Fetch.ai ecosystem. The model is integrated with AgentVerse, the AI agents marketplace, which allows users to create and deploy autonomous agents that perform tasks in the real world through simple language commands.

ASI-1 mini進一步設計為與Fetch.AI生態系統中的自主劑相互作用。該模型與代理商Adents Marketplace集成在一起，該市場允許用戶通過簡單的語言命令在現實世界中執行任務的自動源代理。

This connection between advanced language models and autonomous agents opens new opportunities for the automation of complex processes, from managing business operations to solving real-time problems.

高級語言模型與自主代理之間的這種聯繫為從管理業務運營到解決實時問題的複雜流程自動化開闢了新的機會。

Once fully integrated, ASI-1 Mini will allow users to request various activities, such as hotel or restaurant bookings, simply by making a textual request. These requests will be converted into micro-agents, hosted within AgentVerse, which will perform the operations autonomously.

一旦完全集成，ASI-1 Mini將允許用戶通過提出文本請求來要求各種活動，例如酒店或餐廳預訂。這些請求將轉換為託管在Agentverse內部的微型代理，該機構將自動執行操作。

Additionally, developers will be able to monetize these micro-agents, contributing to the creation of an open-source ecosystem where customized AI functionalities will be easily accessible, fostering the development of an economy based on autonomous agents.

此外，開發人員將能夠將這些微型代理獲利，從而有助於創建一個開源生態系統，在這種生態系統中，可以輕鬆訪問自定義的AI功能，從而促進基於自主劑的經濟發展的發展。

With the evolution of AI and autonomous agents, these synergies could create new economic opportunities and enhance real-time decision-making capabilities.

隨著人工智能和自主代理的發展，這些協同作用可以創造新的經濟機會並增強實時決策能力。