LogicNet: Open-Source AI for Complex Mathematics and Data Analysis
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.
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.
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💰 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 sets and categories.