A pinball repair assistant bot, named Flipside, has been developed to help users diagnose issues by referencing service manuals. The bot, which processes approximately 2,300 documents covering around a thousand pinball machines, utilizes Django, PostgreSQL with pgvector, and Azure OpenAI. Key challenges in its development included accurately extracting data from tables, standardizing terminology between user descriptions and manual language, correctly grouping documents by electronic platform rather than manufacturer, and ensuring the model critically evaluates out-of-spec voltage readings. AI
IMPACT Demonstrates practical application of LLMs for specialized technical documentation, potentially inspiring similar tools in other repair and maintenance fields.
RANK_REASON The item describes a specific application of LLM technology to a niche problem (pinball repair manuals), detailing the technical challenges and solutions implemented.
- Attack from Mars
- Australia
- Azure Document Intelligence
- Azure OpenAI
- Brave
- Django
- Flipside
- Jersey Jack Pinball
- pgvector
- PostgreSQL
- Spike
- Stern
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →