BPT's White paper
  • ๐Ÿ‡ฐ๐Ÿ‡ทKOREAN
    • โ„น๏ธIntroducing โ€˜Best Patentโ€™
    • ๐Ÿ“ˆ๋™ํ–ฅ ๋ฐ ์ถ”์„ธ
    • ๐Ÿ’น์‹œ์žฅ์˜ ๋ฌธ์ œ์  ๋ฐ ํ•ด๊ฒฐ ๋ฐฉ์•ˆ
      • ์‹œ์žฅ์˜ ๋ฌธ์ œ์ 
      • ํ•ด๊ฒฐ ๋ฐฉ์•ˆ
    • ๐Ÿ…ฑ๏ธ์‚ฌ์—… ํ•ต์‹ฌ ์—ญ๋Ÿ‰
    • โœˆ๏ธ์‚ฌ์—… ์ถ”์ง„ ๊ณ„ํš
      • ๊ตฌํ˜„ ๊ณ„ํš(๋‚ด์—ญ)
        • (1)BPT ํ”Œ๋žซํผ
        • (2)์•„์ด๋””์–ด ์ƒ์‚ฐ์ž
        • (3)ํŠนํ—ˆ (๋“ฑ๋ก/์ถœ์›)์ž
        • (4) ์•„์ด๋””์–ด ๊ณต๋ชจ
        • (5) ํŠนํ—ˆ ๋ช…์„ธ์„œ์˜ 3D ์ด๋ฏธ์ง€ NFTํ™” ๊ธฐ์ˆ 
        • (6) AI ์ ์šฉ ๊ธฐ์ˆ 
      • ์‚ฌ์—…ํ™” ์ „๋žต
      • ๊ธฐ๋Œ€ ํšจ๊ณผ
  • ๐Ÿง‘โ€๐Ÿ’ปBPT TECH
    • BPT ๋ธ”๋ก์ฒด์ธ ํ”Œ๋žซํผ
    • BPT ํ•ฉ์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜
    • BPT ์‹œ์Šคํ…œ ์•„ํ‚คํ…์ฒ˜
    • BPT ๋„คํŠธ์›Œํฌ ๊ตฌ์กฐ ๋ฐ ์•Œ๊ณ ๋ฆฌ์ฆ˜
    • BPT ์Šค๋งˆํŠธ ์ปจํŠธ๋ž™ํŠธ
    • BPT AI ๊ฐœ์š”
    • BPT AI ๋”ฅ๋Ÿฌ๋‹ ๊ตฌ์กฐ, ํ”„๋ ˆ์ž„์›Œํฌ
    • BPT ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ ๋ฐ ์ดํ•ด
    • BPT AI ๊ฑฐ๋ฒ„๋„Œ์Šค
  • ๐Ÿช™ํ† ํฐ ์šด์˜ ๊ณ„ํš
  • ๐Ÿ“‚Tokenomics
  • ๐Ÿ—บ๏ธRoadmap
  • ๐Ÿ…ฐ๏ธAbout
  • ๐Ÿ‡บ๐Ÿ‡ฒENGLISH
    • โ„น๏ธIntroducing โ€˜Best Patentโ€™
    • ๐Ÿ“ˆTrends and Momentums
    • ๐Ÿ’นMarketโ€™s Pain Points and Solutions
      • Marketโ€™s Pain Point
      • Solutions
    • ๐Ÿ…ฑ๏ธBusiness Core Competencies
    • โœˆ๏ธBusiness Promotion Plan
      • Implementation Plan (Details)
        • (1) BPT Platform
        • (2) Ideas producers
        • (3) Patent (Registrant / Applicant) producers
        • (4) Idea Competition
        • (5) NFTization technology of 3D0-imges in patent specifications
        • (6) AI-enabled technologies
      • Commercialization Strategy
      • Expected Effects
  • ๐Ÿง‘โ€๐Ÿ’ปBPT TECH
    • BPT Blockchain Platform
    • BPT Consensus Algorithm
    • BPT System Architecture
    • BPT Network Structure and Algorithm
    • BPT smart contracts
    • BPT AI Concept
    • BPT AI Deep Learning Structure, Framework
    • BPT Natural Language Processing and Understanding
    • BPT AI Governance
  • ๐Ÿช™Token Operation Plan
  • ๐Ÿ“‚Tokenomics
  • ๐Ÿ—บ๏ธRoadmap
  • ๐Ÿ…ฐ๏ธAbout
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  1. BPT TECH

BPT AI Governance

It designs AI's decision-making process to be used in the BPT Platform, which includes what data to collect and analyze, which algorithms and models to use, and which strategies to achieve certain goals.

Data collection and preprocessing methods: It defines how to collect and pre-process the data needed to train AI models. It includes collecting data from patent databases or various data sources on the internet and cleaning and processing the data.

3D image model selection and performance evaluation criteria: It selects a BPT AI model and sets the criteria to evaluate it, which includes determining the metrics and evaluation methods to evaluate the model's performance.

Model training and tuning: It manages the process of training and optimizing BPT AI models, including training models based on training data and adjusting hyper-parameters.

Ensure transparency and accountability: BPT AI Governance establishes policies and procedures to ensure transparency and accountability of AI models. This includes adopting explainable AI (XAI) techniques to understand how the model works and providing adequate explanation and transparency to users.

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Last updated 1 year ago

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