Acknowledgement & Conclusion
Acknowledgement We would like to acknowledge the groundbreaking research and innovations from both researchers and centralized AI organizations, whose foundational work has made powerful AI models accessible. It is upon the shoulders of these pioneers that we have realized our vision of decentralized LLMs. To guide the design of QuantWare, we conducted an extensive review of major papers on AI moderation, bias management, and safety, which strengthened our commitment to developing moderation-free AI models.
Conclusion We are at a pivotal moment in the history of technology. With QuantWare, everyone can access powerful LLM capabilities without restrictions or ideological biases, unlocking the full potential of the model. Just as personal computers, internet access, and search engines empowered us, we now have the same opportunity with AI models. The QuantWare Protocol combines advanced LLM capabilities with high-performance blockchain protocols, creating a system where economic incentives are aligned to produce optimal outcomes as we approach AGI. Join us in building an open-source, permissionless, and free future for all.
The research listed below has been instrumental in shaping our initial model. While improvements in response quality for general queries may not always be immediately apparent, we can confidently assert that QuantWare delivers moderation-free inferences to users, regardless of the subject matter.
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