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加密貨幣新聞文章

病毒式和$病毒:通過大型動作模型的先驅分散的AI培訓

2025/01/29 16:48

不要只是尋找最受歡迎的AI加密項目;還尋求那些有基本支持的人。這是病毒式的詳細分析

病毒式和$病毒:通過大型動作模型的先驅分散的AI培訓

Viralmind is an open-source, decentralized collective intelligence platform that aims to create advanced human-assisting AI agents. Its Large Action Model (LAM) is designed to navigate and operate in digital environments in a human-like way. Utilizing keyboard input, mouse movements, and clicks, these AI agents can perform a wide range of tasks in gaming, productivity, and other creative fields.

ViralMind是一個開源的,分散的集體智能平台,旨在創建先進的人為AI代理。它的大型動作模型(LAM)旨在以人類的方式在數字環境中進行導航和操作。這些AI代理使用鍵盤輸入,鼠標動作和點擊,可以執行遊戲,生產力和其他創意領域的各種任務。

To train these AI agents, users can train through Trading Gym, which effectively captures on-screen actions as training data. This information is then converted into detailed trajectories, allowing AI agents to learn and improve over time. Viralmind also introduces a data marketplace where users can trade these datasets to further enhance the overall learning capability of the system. A key innovation of Viralmind is the one-click fine-tuning feature, enabling users to customize models like GPT-4o using small datasets. This approach simplifies AI training, allowing a large number of users (even those without deep technical expertise) to benefit. The system generates structured .jsonl files that capture human behavior and comprehensive reasoning, providing high-quality data for model improvement.

為了培訓這些AI代理,用戶可以通過貿易體育館進行培訓,該體育館有效地捕獲了屏幕動作作為培訓數據。然後將這些信息轉換為詳細的軌跡,使AI代理可以隨著時間的推移學習和改進。 ViralMind還引入了一個數據市場,用戶可以在其中交易這些數據集,以進一步增強系統的整體學習能力。病毒風格的關鍵創新是單擊的微型調整功能,使用戶能夠使用小數據集自定義諸如GPT-4O之類的模型。這種方法簡化了AI培訓,允許大量用戶(甚至沒有深厚技術專長的用戶)受益。該系統生成結構化的.jsonl文件,以捕獲人類行為和全面的推理,從而提供了高質量的數據以改進模型。

Viralmind's LAM aims to bridge the gap between LLMs (Large Language Models) and direct computer interaction, replacing outdated OCR-based technologies. Viralmind plans to deploy agents on-chain and on desktops, aiming for seamless integration into gaming, enterprise software, and blockchain applications. Viralmind is supported by its native token, VIRAL, which incentivizes users to provide high-quality training data, participate in competitions, and foster the growth of Viralmind's expanding AI ecosystem.

ViralMind的LAM旨在彌合LLM(大語言模型)與直接計算機交互之間的差距,以取代過時的基於OCR的技術。 ViralMind計劃計劃在鏈上和台式機上部署代理商,旨在將無縫集成到遊戲,企業軟件和區塊鏈應用程序中。 ViralMind由其本地令牌Viral提供支持,該病毒療法激勵用戶提供高質量的培訓數據,參與競爭並促進ViralMind擴展的AI生態系統的增長。

Viralmind reinvests the revenue generated from large models into marketing and development, creating an efficient and self-sustaining economy that rewards contributors and supports the platform's long-term growth.

ViralMind將大型模型產生的收入重新投資到營銷和開發中,創造了一個高效且自我維持的經濟,從而獎勵貢獻者並支持該平台的長期增長。

Products/Services

產品/服務

Viralmind's main product is VM-1, a LAM that reacts to human behavior in digital environments. As an advanced LAM, VM-1 enables AI agents to play games, complete tasks, and navigate complex interfaces through smooth, human-like interactions.

Viralmind的主要產品是VM-1,這是對數字環境中人類行為的反應的LAM。作為先進的LAM,VM-1使AI代理可以通過平滑的,類似的人類互動來玩遊戲,完成任務並導航複雜的接口。

The VM-1 ecosystem will have two distinct tiers:

VM-1生態系統將有兩個不同的層次:

Open-source small models: These models are compact and efficient, catering to developers looking to enhance existing pipelines by replacing OCR modules. They can serve as plug-and-play extensions for any LLM, enhancing functionality without the need for extensive LAM training.

開源小型型號:這些模型緊湊且高效,可滿足希望通過更換OCR模塊來增強現有管道的開發人員。它們可以用作任何LLM的插件擴展,從而提高功能,而無需大量的LAM培訓。

Base LAM via API: The large VM-1 model provided through API has been trained on millions of data points, suitable for a variety of applications ranging from gaming and work automation to streaming. Its usage is powered by the VIRAL token, with fees reinvested into marketing and growth, ensuring the ecosystem's self-sustainability.

BASE LAM通過API:通過API提供的大型VM-1模型已接受了數百萬個數據點的培訓,適用於從遊戲和工作自動化到流媒體的各種應用程序。它的用法由病毒令牌提供動力,並將費用重新投資到營銷和增長中,從而確保了生態系統的自我可持續性。

Viralmind has also established strategic partnerships with game studios, enterprise software providers, and crypto platforms to expand the reach of VM-1. These collaborations will integrate VM-1's capabilities into a broader AI ecosystem, enhancing the adoption and potential of the agent framework.

ViralMind還與遊戲工作室,企業軟件提供商和加密平台建立了戰略合作夥伴關係,以擴大VM-1的影響力。這些合作將將VM-1的功能集成到更廣泛的AI生態系統中,從而增強了代理框架的採用和潛力。

Why Choose VM-1?

為什麼選擇VM-1?

Community Sentiment

社區情緒

Viralmind has not achieved viral marketing like other projects. It does not have a Discord but has a Telegram channel with over 1.1K members. The existing community has a deep understanding of Viralmind's products. Viralmind is currently not listed on GoatIndex but is listed on Cookie.fun.

ViralMind沒有像其他項目那樣實現病毒營銷。它沒有不和諧,但具有超過1.1k成員的電報頻道。現有社區對病毒式產品有深刻的了解。 ViralMind目前尚未在GoatIndex上列出,但在Cookie.Fun上列出。

Market Analysis

市場分析

Having large datasets is fundamental to training AI models. Viralmind is at the core of this training while incentivizing user participation, effectively allowing training to occur on a broader scale while also highly personalizing it for individual users. AI agents and models can typically be trained through centralized methods, but this limits AI's ability to understand users' highly concentrated needs. Furthermore, centralized AI training models absorb the biases of the institutions/organizations/individuals that build them. This is where decentralized AI training models like Viralmind are needed.

擁有大數據集對於培訓AI模型至關重要。 ViralMind是這項培訓的核心,同時激勵用戶參與,有效地允許更廣泛的規模進行培訓,同時對單個用戶進行高度個性化的個性化。 AI代理和模型通常可以通過集中式方法進行培訓,但是這限制了AI了解用戶高度集中需求的能力。此外,集中的AI培訓模型吸收了建立它們的機構/組織/個人的偏見。在這裡,需要分散的AI訓練模型(例如病毒式)。

Viralmind is not the only project building distributed AI training.

ViralMind並不是唯一分發AI培訓的項目大樓。

FLock.io is also building customizable and highly centralized AI models that can be trained by users. They have a similar community-involved AI training model where users can help train AI models on Flock. These models can then be commissioned by individuals or organizations. In this case, the FLOCK token has similar utility to the VIRAL token.

Flock.io還正在構建可以由用戶培訓的可定制和高度集中的AI模型。他們具有類似的社區涉及的AI培訓模型,用戶可以幫助羊群培訓AI模型。這些模型然後可以由個人或組織委託。在這種情況下,羊群具有與病毒令牌相似的效用。

Sapien AI also offers the ability for participating users to train AI models. In return, these users receive rewards. However, unlike Viralmind, Sapien provides AI training LLMs aimed at institutions/enterprises.

Sapien AI還提供了參與用戶培訓AI模型的能力。作為回報,這些用戶會獲得獎勵。但是,與ViralMind不同,Sapien提供針對機構/企業的AI培訓LLM。

Prime Intellect is similar in that it brings together researchers, users, and anyone interested in training AI models. It allows anyone to contribute capital, computation, or code to build these models. However, unlike Viralmind, Prime Intellect seems to limit the users who can join in training AI models.

Prime智力是相似的,因為它匯集了研究人員,用戶以及對培訓AI模型有興趣的任何人。它允許任何人貢獻資本,計算或代碼來構建這些模型。但是,與ViralMind不同,主要的智力似乎限制了可以加入培訓AI模型的用戶。

DecentrAI also offers decentralized training. Users can take on responsibilities such as training models and quality checking. DecentrAI is still in the development stage.

分散者還提供分散的培訓。用戶可以承擔諸如培訓模型和質量檢查之類的責任。分散者仍處於發展階段。

Prometheus-X also contributes to decentralized AI training. However, this solution is not based on blockchain

Prometheus-X也有助於分散的AI培訓。但是,該解決方案不基於區塊鏈

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