🦸
Hero Paper
  • 🦸Hero Core
    • Make Smarter Crypto Decisions
    • The Hero
    • The Why
    • The Vision, Mission & Values
    • Disclaimer
  • 🛡️THE HERO ECOSYSTEM
    • Key Components of the Hero Ecosystem
    • Hero AI Search
      • Underlying Technology - Apta
      • Application Examples
    • Hero Wallet
      • Key Features
    • Hero Pay
      • Key Features
    • Hero Market
      • Key Features
    • Hero Browser
      • Key Features
    • Hero Coin
    • Hero ID
      • Key Features
  • 🎯THE OPPORTUNITY
    • Advanced Crypto Analytics For All
    • Crypto Advertising
    • Hero Ad Network
    • Search and Earn
      • Proven Success Models
      • Economic Analysis of Reward Advertising
  • ⚙️TECH STACK
    • Apta Technical Report
    • Tech Video Library
    • Data Engineering System Architecture
    • Smart Contracts
    • Security & Audits
  • 🪙TOKENOMICS
    • Tokenomics Framework
      • Key Features
      • Tokenomics and Utility
      • SWOT Analysis
      • Challenges and Solutions
      • Hero DAO
      • Conclusions on the Tokenomics
  • 👥THE TEAM
    • The Heroes
    • Team Bios
  • 🚀THE ROADMAP
    • Hero’s Journey
  • 📚MISCELLANEOUS
    • Official Links
    • Brand and Marketing Kit
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  1. TECH STACK

Apta Technical Report

By Apta Team

PreviousEconomic Analysis of Reward AdvertisingNextTech Video Library

Last updated 8 months ago

  • Purpose of APTA: APTA is a conversational AI architecture that is being used as the foundation to build an AI assistant tailored for the crypto domain, designed to provide accurate, insightful, and up-to-date responses by combining market data, fundamental knowledge, and recent media articles.

  • Technology: APTA's architecture, known as preemptive agentic flow, bridges LLMs with bespoke AI models or "experts," including retrieval-augmented systems, to address common LLM limitations like outdated information and limited reasoning. To reduce latency for complex queries, APTA anticipates system use cases and pre-computes complex intermediaries, enabling rapid delivery of advanced analytics while preserving a seamless user experience.

  • Query Reformulation: APTA reformulates user queries by considering both the current request and conversation history, ensuring context-aware, accurate responses.

  • Expert Selection: APTA routes user queries to specific expert systems tailored to the task at hand, ensuring specialized and precise answers, particularly in areas requiring domain expertise.

  • Modular Response Framework: The system combines input from multiple experts and presents a cohesive, synthesized response to the user, leveraging different AI modules and experts simultaneously.

Full Technical Report Bellow:

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Apta technical report