The hackathon will focus on the use of large language models (LLMs) for analyzing and organizing large sets of complex data. Examples of potential AI applications include a website for answering questions about government spending, a simplified form for reporting car break-ins, and a permit approval application that checks for errors. The event will feature speakers and judges from the tech and civics sectors, and is open to engineers specializing in LLMs and machine learning.
Key takeaways:
- Accelerate SF, a new initiative by former tech employees, aims to drive engineers to build AI solutions for San Francisco’s major public sector challenges. They are hosting a hackathon on Nov. 4th and 5th.
- The initiative is one of the first major initiatives by a large American city to incorporate artificial intelligence into the public sector, with a focus on the use of large language models (LLMs).
- Examples of AI applications that participants might be working on at the hackathon include a new open book website that uses natural language models to answer questions about government spending, a simplified form for reporting car break-ins, and a permit approval application that checks for errors.
- Accelerate SF has received funding from several sponsors, including Scale AI, Chroma, OpenAI, Anthropic, Replit and LangChain. The hackathon is open to engineers who specialize in large language models and machine learning.