🚨 Se on virallista - ASI:One on siirtynyt mobiiliin. 's agentic LLM on nyt taskussasi. Sama tehokas älykkyys, joka on suunniteltu uudelleen todelliseen maailmaan. Lataa sovellus nyt 👇 Androidi: Ios:

AI meets Web3 is the best combination possible. @Fetch_ai, a member of @ASI_Alliance has just launched ASI-1 Mini, the first Web3-Native LLM that on par with other LLMs in the market. Let's dive together! 🧵 ... — 📌 What is ASI? ASI Alliance represents a collaboration between major AI protocols from the AI and blockchain sectors, aiming to consolidate their technological advancements. The protocols involved are: ✦ @Fetch_ai ✦ @SingularityNET ✦ @oceanprotocol ✦ @CUDOS_ (the latest addition) For an in-depth look at ASI Alliance and their objectives, refer to our previous post ⤵️ Recently they just launched the first Web3-Native LLM, ASI-1 Mini. ... — 📌 What is ASI-1 Mini? ASI-1 Mini is a Web3-native large language model (LLM) developed by Fetch AI and ASI Alliance specifically built and optimized for supporting complex agentic workflows, featuring advanced capabilities and functionalities: ✦ Utilizes a Mixture of Models (MoM) and Mixture of Agents (MoA) approach with three-layered systems to improve performance and enhance decision-making. ✦ Offers 4 dynamic reasoning modes: - Multi-step: complex, layered decision-making - Complete: thorough, in-depth analysis - Optimized: balances speed and accuracy - Short-reasoning: concise, high-impact insights These reasoning modes can be tailored to suit specific tasks, enhancing context-aware decision-making, increasing explainability, and reducing the black-box problem in AI. ✦ Operates at significantly lower hardware costs (ASI-1 Mini runs on 2 GPUs with up to 8x efficiency) ✦ Highly scalable, with plans to expand to 300 billion tokens to enable large-scale data analysis and automation The ASI-1 Mini has been introduced with a tiered freemium approach tailored for $FET holders; to access its complete functionality, users can link their web3 wallet with function unlocked depending on the amount of $FET they own. The Web3 integration also enables data ownership belongs to users. ... — 📌 How is The Performance? ASI-1 Mini excels on MMLU benchmarks, often matching or beating top LLMs in medical sciences, history, logical reasoning, and business tasks. Its versatility makes it ideal for high-stakes decisions making, research, and enterprise AI with its cost-effectiveness. ... — 📌 ASI-1 Use-Cases ASI-1 in it's full capabilities can be utilized for several use-cases ✦ Cross-domain expertise with Enterprise-Level AI applications ✦ Streamline Agentic workflows ✦ Advanced computational applications ✦ Specialized problem solving and task optimization And more! ... — 📌 What's Next? The next phase, ASI:<Train/>, invites the Web3 community to participate in AI model training, decentralizing the process. This collaboration allows the community to stake, train, and own AI models, ensuring fair distribution of AI benefits