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Co-GenAI Platform

Collaborative Generative AI

Co-Gen AI reimagines how we develop, evaluate, and evolve artificial intelligence. Breaking free from centralized control, we empower communities to shape the future of AI through blockchain-powered collaboration and transparent governance.

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Platform Features

Domain Adaptation of LLMs

Transform generalist foundation models into highly reliable domain experts using CPT, SFT, and RLVR. This framework bridges the gap between open-domain capabilities and specialized industry requirements, as exemplified by our best practices in medical domain adaptation.

  • CPT injects deep domain knowledge into generalist backbones
  • SFT & RLVR align expert reasoning and enforce reliability via verifiable rewards
From Generalist to Medical Specialist
Community-Driven Development

Community-Driven Development

Join a global community of developers, researchers, and enthusiasts collaborating to build the world's first collaborative Science Foundation Model. Every contribution matters—from data curation to model training.

  • Building a global collaborative Science Foundation Model
  • Open participation for researchers and developers worldwide
  • Fair reward distribution for contributions

Decentralized Model Evaluation

Build trust through distributed evaluation. Our blockchain-powered infrastructure ensures every benchmark result is verifiable and tamper-proof. No single entity controls the rankings.

  • Immutable and verifiable benchmark results
  • Distributed evaluation across global nodes
  • Tamper-proof model performance records
Decentralized Model Evaluation
Model Leaderboard & Community

Model Leaderboard & Community

Track and compare AI models on our open leaderboard with a focus on scientific domains. Connect with researchers and developers worldwide, share insights, and collaborate on cutting-edge science AI research.

  • Real-time rankings for science-focused AI models
  • Developer forums and research discussion channels
  • Collaborative benchmarking across scientific domains

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