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Spoonos旨在幫助開發人員建立參與鏈應用程序的生產性AI代理。
SpoonOS, an agentic operating system, has announced a partnership with FLock.io, a decentralized AI training platform.
代理操作系統Spoonos已宣布與分散的AI培訓平台Flock.io建立合作夥伴關係。
The partnership will see SpoonOS developers gain access to FLock.io’s decentralized AI training infrastructure. The two teams will also work together to explore the development of the SpoonOS Agent Interoperability Protocol, which is intended to enable seamless communication between SpoonOS agents.
該合作夥伴關係將使Spoonos開發人員能夠訪問Flock.io的分散AI培訓基礎設施。這兩個團隊還將共同探索Spoonos代理互操作性協議的開發,該協議旨在使Spoonos代理之間進行無縫的溝通。
What is SpoonOS?
什麼是Spoonos?
SpoonOS is an operating system designed to empower developers to build productive AI agents that can participate in on-chain applications. The framework is incubated by Neo Global Development and features a blockchain-agnostic design.
Spoonos是一種操作系統,旨在使開發人員能夠建立可以參與鍊鍊應用程序的生產性AI代理。該框架是由NEO Global Development孵化的,並具有區塊鏈不可或缺的設計。
The framework is designed to support the development of both general purpose and specialized models. While many general purpose models are already available, specialized models or fine-tunes of existing models can help to improve the accuracy and usability of agentic solutions.
該框架旨在支持通用和專業模型的開發。儘管已經有許多通用模型,但現有模型的專業模型或微型模型可以幫助提高代理解決方案的準確性和可用性。
What is FLock.io?
什麼是Flock.io?
FLock.io is a decentralized platform that aims to democratize AI training by providing a collective space for users to build and iterate on AI systems together.
Flock.io是一個分散的平台,旨在通過為用戶提供集體空間來構建和迭代AI系統,以使AI培訓民主化。
The platform is positioned as a response to the risks of centralizing AI development in the hands of a few large entities that control the data pipelines and model outputs. This centralization reduces transparency, increases the risk of bias, and limits public input into the direction of AI systems, according to FLock.io.
該平台的定位是對控制數據管道和模型輸出的一些大型實體的集中AI開發的風險的回應。根據Flock.io的說法,這種集中化會降低透明度,增加偏見的風險,並限制公眾對AI系統方向的投入。
Through the AI Arena, users may contribute across the full lifecycle of AI development by providing data, defining the models they wish to see, performing training or finetuning, evaluating models, or simply delegating tokens to contribute to the collective effort.
通過AI競技場,用戶可以通過提供數據,定義他們希望看到的模型,進行培訓或填充,評估模型或簡單地將令牌委託給集體努力做出貢獻,從而在AI開發的整個生命週期中做出貢獻。
Those who contribute to the Arena earn FLOCK, a TestNet token for FLock.io which is currently deployed to the Base network.
那些為競技場做出貢獻的人贏得了Flock,這是Flock.io的測試網令,目前已部署到基本網絡。
The two teams are currently seeking experienced data scientists to contribute to the FLock.io platform. Those interested may apply via the following email address: careers@flock.io.
這兩個團隊目前正在尋求經驗豐富的數據科學家,為Flock.io平台做出貢獻。感興趣的人可以通過以下電子郵件地址申請:careers@flock.io。
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