How I Built a Domain - Specific LLM for Public Transit - From Data Collection to Deployment
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The Problem Ask ChatGPT how many bus routes Chicago CTA operates — you'll get an answer. But is it grounded in actual data, or is it pulling from random web pages? General-purpose LLMs are impressive, but they struggle with structured, domain-specific data like transit schedules. They hallucinate route numbers, invent stop names, and get GTFS spec details wrong. I wanted a model that answers from real data — verifiable, traceable, and accurate. So I built one. What is UmarTransit-1B?…
1Key Takeaways
- The Problem Ask ChatGPT how many bus routes Chicago CTA operates — you'll get an answer.
- But is it grounded in actual data, or is it pulling from random web pages?
- General-purpose LLMs are impressive, but they struggle with structured, domain-specific data like transit schedules.
- They hallucinate route numbers, invent stop names, and get GTFS spec details wrong.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the Problem Ask ChatGPT how many bus routes Chicago CTA operates — you'll get an answer.
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