Inferium Whitepaper 2.0
  • Introducing Inferium
  • Understanding Inferium
    • Models
      • Uploading Models
      • Downloading Models
      • Searching Models
      • Evaluate Models
      • Proof of Inference
    • Datasets
    • Studio
  • Inferium Node
    • Architecture
    • Worker Node (InferNode)
    • Validator Nodes (VeraNode)
    • Inferium Node FAQ
  • Inferno
  • Tokenomics
  • Nami Bot: The AI Assistant for Verifiable AI
  • FAQ
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  • Key Features
  • Use Cases for Nami Bot
  • Future Enhancements

Nami Bot: The AI Assistant for Verifiable AI

Nami Bot is Inferium’s AI agent that bridges the gap between users and AI capabilities. Designed to operate seamlessly through Telegram, Nami acts as a versatile assistant that empowers users to inter

Key Features

1. Magic Search Integration: Nami Bot serves as a Telegram version of Magic Search, enabling users to:

  • Search AI Agents: Search for AI agents across Inferium and Hugging Face platforms.

  • Find the Best Models: Filter models by performance, use case, and evaluation metrics.

2. Model Interaction: Nami allows users to directly interact with AI models deployed on Inferium:

  • Run inferences directly through Telegram.

  • Query models for specific outputs (e.g., text generation, image classification, text-to-3D rendering).

  • Analyze and retrieve model information for deeper insights.

3. Model Evaluation: Users can evaluate AI models across multiple dimensions:

  • Performance metrics like accuracy, precision, and recall.

  • Off-chain data evaluations to assess model behavior on local datasets.

  • On-chain data evaluations for models that interact with blockchain-recorded proof of inference.

4. Token Wallet: Nami Bot includes a built-in wallet to manage and store tokens:

  • Store $IFR tokens securely within Telegram.

  • Facilitate payments for Studio upgrades, model access, or marketplace transactions.

  • Support for transaction tracking and redemption of Inferno Points.

5. Code Debugging: Developers can use Nami Bot to debug code directly via Telegram:

  • Paste snippets of code, and Nami will identify syntax or logical errors.

  • Suggest improvements or provide examples to resolve issues.

  • Support for multiple programming languages such as Python, JavaScript, and Solidity.

6. Model Submission: Submit new models to Inferium directly through Nami:

  • Include metadata, descriptions, and performance benchmarks.

  • Automate model onboarding to the Inferium platform or marketplace.

7. App or Agent Creation: Users can create fully functional AI apps or agents via Nami:

  • Select models from Inferium or Hugging Face and deploy them into a personalized Studio.

  • Configure workflows, add custom logic, and deploy the agent for public or private use.

Use Cases for Nami Bot

For Developers

  • Debug and Deploy: Debug code and deploy models or agents directly from Telegram.

  • Submit Models: Quickly onboard new AI models to Inferium for evaluation or marketplace listing.

For Businesses

  • AI Search: Find and evaluate the best AI solutions for your specific needs using Nami’s advanced search and evaluation tools.

  • Token Management: Simplify transactions and resource management with the built-in wallet.

For Enthusiasts

  • Explore AI: Use Nami to interact with state-of-the-art AI models and agents from multiple platforms.

  • Learn and Experiment: Create and deploy custom AI agents for personal or educational purposes.

Future Enhancements

  1. Multi-Platform Integration:

    • Expand beyond Telegram to platforms like WhatsApp and Slack.

  2. Advanced Customization:

    • Enable users to fine-tune their own versions of Nami for specific workflows or enterprise needs.

  3. Enhanced Debugging Features:

    • Introduce AI-assisted debugging with recommendations for optimizing model performance and efficiency.

  4. Expanded Blockchain Features:

    • Integrate staking and token rewards directly within Nami’s wallet for further incentivization.

  5. Token Agent Indexing:

    • Enable Nami Bot to index tokenized AI agents from platforms such as Virtual and Cookie3.

    • Provide real-time insights into tokenized agent performance, metadata, and market activity, making it easier for users to discover and interact with these agents.

    • Enhance visibility for tokenized agents by integrating marketplace metrics and on-chain data analytics.

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Last updated 3 months ago