🛣️Roadmap

Phase 1: Algorithm Development and Initial Deployment (Q1 - Q2)

• Q1

  • Define and finalize the DGPT algorithm's architecture.

  • Conduct initial experiments and benchmarking against existing models.

  • Develop a prototype of the decentralized pre-training (DUPT) and supervised fine-tuning (DSFT) processes.

  • Set up the initial infrastructure for decentralized training.

• Q2

  • Launch the alpha version of the DGPT algorithm.

  • Collect community feedback and iterate on the algorithm.

  • Begin the deployment of the decentralized training infrastructure.

  • Establish partnerships with data providers for diversified training corpora.

Phase 2: Decentralized Training and Testing (Q3 - Q4)

• Q3

  • Expand the decentralized training network with additional oracles.

  • Optimize the training process for scalability and efficiency.

  • Implement robust security measures for decentralized operations.

  • Conduct extensive testing and validation of the DGPT model across different tasks.

• Q4

  • Launch the beta version of the DGPT algorithm.

  • Integrate community contributions and improvements.

  • Enhance the user interface for managing decentralized training nodes.

  • Prepare comprehensive documentation and tutorials for users and developers.

Phase 3: Full Decentralization and Community Governance (Q1 - Q2, Year 2)

• Q1

  • Fully decentralize the training and fine-tuning processes.

  • Introduce a governance model for community-driven decision-making.

  • Launch the DGPT mainnet with full functionality.

  • Encourage community participation in governance and development.

• Q2

  • Expand the ecosystem with additional applications and use cases.

  • Continuously improve the algorithm based on real-world feedback.

  • Strengthen partnerships with industry leaders and research institutions.

  • Initiate marketing campaigns to promote DGPT adoption.

Phase 4: Ecosystem Expansion and Innovation (Q3 - Q4, Year 2)

• Q3

  • Launch specialized DGPT versions for different industries (e.g., finance, healthcare).

  • Foster innovation through hackathons and developer grants.

  • Integrate with major blockchain platforms for broader reach.

  • Expand the team to support growing community and development needs.

• Q4

  • Achieve widespread adoption of the DGPT model.

  • Continue to evolve the algorithm with cutting-edge research.

  • Maintain a strong and active community through regular updates and events.

  • Explore new frontiers in decentralized AI and machine learning.