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Maga / Trump.Financial
  • MAGA Overview
    • Introduction
    • The MAGA Concept
    • MAGA MVPs
      • MAGA AI Draw
      • MAGA GPT
      • MAGA Scanner
      • MAGA Trading
    • Roadmap
      • Phase 1
      • Phase 2
      • Phase 3
    • MAGA Utility Token
    • Join Our Team
      • C++ Trading Platform Developer
      • Machine Learning Engineer
      • Senior DevOps Engineer
      • Developer Relations
      • Data Engineer
  • MAGA GPT Utilities
    • MAGA GPT vs Chat GPT
    • MAGA AI Draw vs Bicasso
    • MAGA AI Draw Patch Notes
    • MAGA GPT Patch Notes
  • Learn About MAGA AI
    • Large Language Models
    • Text to Image Models
    • Natural Language Processing
    • Machine Learning
    • Fine Tuning
    • Pretrained Language Model
  • Safety
    • Ownership Renounced
    • Liquidity Pool Lock
    • Contract Audit
  • Developer
    • Bug Reports
    • Github
  • Misc
    • MAGA Website
    • MAGA AI Artist
    • MAGA GPT
    • MAGA Scanner
    • Etherscan
    • Telegram
    • Twitter
    • Medium
  • Legal
    • Disclaimer
    • Privacy Policy
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  1. Learn About MAGA AI

Fine Tuning

Fine-tuning is key to the optimization of an AI model's functionality.

From the collection of data to the refinement of it to the processing and production, fine-tuning is an iterative process that selectively extrapolates portions of an AI’s operation and effectively re-trains it to increase the fidelity of its outputs.

Typically implemented through a supervised learning approach where human intervention is required in order to pinpoint discrepancies and guide the AI to understand desired outputs.

As it relates to MAGA, fine-tuning is conducted on a regular basis by the development team that is monitoring the qualitative state of MAGA. Additionally, fine-tuning may be implemented ad hoc in sudden critical, logical lapses.

PreviousMachine LearningNextPretrained Language Model

Last updated 1 year ago