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.
- 🚀 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_penaltyaccuracy_scoreis based on the correctness of the result.reasoning_scoremeasures the similarity between the generated text and reference data.time_scoreis derived from the time taken to generate the result.
- 🌟 Continuous Improvement: Adding more math problem set and category.