🧠 LogicNet - Subnet 🤖

Introduction

Description

Our goal is to develop an open-source AI model capable of complex mathematics and detailed data analysis, enhanced by incentivized human feedback for continuous improvement.

• 📚 Albert Frontend App
• 📚 Learn more about LogicNet
  • More about the roadmap,
  • About our open source specialized model,
  • Custom model benchmarking against ChatGPT,
  • RLHF feature video demo.

Key Features

• 🚀 Advanced Computational Network: Incentivizing miners to enhance computational resources for complex AI/ML tasks.
• 📈 Performance Commitment: Miners commit to a category and volume per epoch.
• 💰 Incentive Mechanism:
  • reward = (0.6 * accuracy_score) + (0.4 * reasoning_score) - 0.1 * time_penalty
  • accuracy_score is based on the correctness of the result.
  • reasoning_score measures the similarity between the generated text and reference data.
  • time_score is derived from the time taken to generate the result.
• 🌟 Continuous Improvement: Adding more math problem set and category.

Neurons Documentation

• 📖 Validator
• 📖 Miner