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Abstract
Project Repo: TBD
Mentor and Mentee
Mentor: Gianluca Capuzzi []
Mentee: Xitong (Jacqueline) Zhang [Eastern Time Zone (Toronto, Canada)]
Deliverables
- An LLM prototype with acceptable time response and implementation costs
A Front-end component prototype
A simple container architecture
A good quality documentation
Milestones
Eval 1:
ChatBot Front-end Component
Eval 2:
Container
Eval 3:
Integration & Testing
Eval 4:
All deliverables (e.g. documentation, code)
Timeline
June 3 - June 23 | Onboarding Understand the project scope and learn about LLM (Large Language Models) - review the existing Hyperledger Labs AIFAQ documentation
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June 24 - July 5 | Understand the project scope and learn about LLM (Large Language Models) - research and document the basics of LLM, focusing on how they can be applied to create intelligent ChatBots
- setup and familiarize with existing codespace
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July 8 - July 19 | Develop the front-end component of the ChatBot - design a user-friendly interface for the ChatBot using JavaScript
- implement the interface as a functional prototype that can later be integrated with the backend LLM
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July 22 - July 26 | 1st Quarter Evaluation |
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July 29 - August 9 | Understand Cloud Architecture and Deployment - research cloud service providers (e.g., AWS, Google Cloud, Azure) and their offerings
- document the pros and cons of each service with respect to the project's needs and select one for deployment.
- begin the deployment of the front-end component as a test.
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August 12 - August 23 | Containerization - research and document the basics of container technology (e.g., Docker).
- create a simple container for the ChatBot's front-end.
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August 26 - August 31 | Buffer Time & Documentation - catch up on documenting the current progress
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September 2 - September 6 | Midterm Evaluation |
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September 9 - September 20 | Integration & Testing - integrate the front-end component with the LLM backend, ensuring they communicate effectively.
- conduct initial testing and document any issues or bugs.
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September 23 - October 4 | Cloud Server Deployment - finalize the deployment of the ChatBot on the chosen cloud service
- perform comprehensive testing to ensure functionality and performance standards are met
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October 7 - October 11 | Buffer Time & Documentation
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October 14 - October 18 | 3rd Quarter Evaluation |
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October 21 - November 1 | Project Documentation & Quality Assurance - document the project extensively, including setup instructions, user guides, and technical details
- perform final rounds of testing, focusing on user experience and bug fixing
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November 4 - November 8 | Buffer Time |
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November 11 - November 29 | Project Wrap-up, Review & Feedback - organize a project demonstration for stakeholders to gather feedback
- reflect on the project process, documenting lessons learned and potential improvements
- finalize all project documentation and ensure all code and resources are well-organized and accessible
- outline potential future enhancements and areas for further development
Final Evaluation |
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