AI.Society
  • Disclaimer
  • AI.Society
  • Introduction
    • Overview
    • Mission
    • Roadmap
  • AI and the Metaverse: Past and Present
    • Market Opportunity
    • Evolution of AI Technology
    • Growth of the Metaverse
  • Convergence of AI and the Metaverse
    • Why the Metaverse?
    • AI NPCs in the Metaverse
    • AI.S NPCs
    • Metaverse Customization and Personalization
  • Token Economy in the Metaverse
    • AIS Token: The Native Currency
    • Tokenomics
    • Virtual Assets and NPC Employment
    • Data Quality and Response Filtering
    • Sustainability of AI.Society
  • Decentralized Language Learning
    • AI Engine & Multi-Device Training
    • AI Engine Structure
    • AIS Nodes
    • AIS Node Phases
    • AIS Referral Program
    • Node Disclaimer
  • Society Membership and Governance
    • DAO Mission
    • Decentralized Autonomous Organization Structure
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  1. Decentralized Language Learning

AIS Node Phases

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Last updated 1 year ago

Alpha Node Nodes are focused on data acquisition, which is the first step of building a robust and diverse AI language model. Nodes use crawler bots to collect text data from various sources, such as websites, social media platforms, forums, blogs, etc. Nodes also label the data according to categories, such as topics, sentiments, intents, entities, etc. This helps to create a rich and structured dataset that can be used for AI learning in the next phase. Beta Node

Nodes use distributed computing to process the acquired data into AI learning using state-of-the-art natural language processing techniques, such as transformers, attention mechanisms, self-attention, etc. Nodes also use reinforcement learning to optimize the AI language model based on feedback and rewards from the users and the system. This helps to improve the accuracy and performance of the AI language model in various tasks and scenarios.

Full Node

Nodes have all the capabilities of the previous nodes, and can access the processed and stored data to make inferences, which is the process of generating new text based on input and context. Nodes can understand new data with the ability to identify and categorize it according to different criteria, such as relevance, quality, sentiment, etc. AI NPCs provide service not only in AI Society Metaverse but can be suited to different metaverses, GameFi, and dApps.