1. Competition Deliverables:

  Wiki: √

  Presentation Video: √

  Judging Form: √

  Judging Session: √

2. Project Attribution: √

3. Project Description: √

4. Project Contribution: √

1. Engineering Success: √

We successfully developed both the Expert Mode and Freshman Mode of the Prometheus model, which fully realizes natural language dialogue and comprehension, as well as the ability to output component combinations and plasmids based on user requirements. We promoted it through various trials, showcasing its powerful functionality and practicality. Our project follows the DBTL (Design-Build-Test-Learn) cycle. Initially, we developed a design plan, constructed the model, applied it in the lab, and gathered feedback through HP activities. We identified a high usage threshold and then developed Freshman Mode to support natural language dialogue. With continuous feedback and iterations, we refined the model, making it more accessible and effective for users.

2. Human Practice: √

We conducted dozens of HP activities focused on promoting synthetic biology and artificial intelligence, raising awareness about their combination. We targeted a wide audience, including experts, scholars, students, and the general public, using various methods to showcase our project and collect feedback. These efforts helped introduce synthetic biology to different groups and improve our model.

1. Model: √

We developed the Prometheus model, a large language model built on a knowledge graph. It allows natural language dialogue, extracts user requirements, matches them with components, and generates plasmids. The model successfully guided wet lab experiments and was tested by experts and students. It incorporated real-world data, providing guidance for actual experiments and fulfilling the Best Model criteria.

2. Best Education: √

We centered our education activities around promoting the integration of AI and synthetic biology. By using innovative methods like our natural language dialogue model, we introduced these concepts to students and professionals, enabling them to engage with synthetic biology. We documented our efforts and published materials like the AI and Synthetic Biology Brochure and the AI Safety White Paper.

3. Integrated Human Practice: √

We established a two-way interaction between our model and society, collecting feedback to guide its improvement. Through community activities, expert interviews, and large-scale trials, we significantly enhanced the model’s functionality, ensuring it addresses real-world challenges and user needs.