Mind the Gap, Then Measure It

说明与用途

Tinker LoRA 微调模型将模糊的无障碍投诉转化为可操作的工作单，提供所需的精确测量，缩短报告与修复之间的时间差。

问题

City residents report accessibility barriers but lack the specific evidence needed for public‑works crews to act, causing delays and unaddressed hazards.

结果

The system turns vague complaints into actionable work orders by providing the exact measurement needed, reducing the gap between reporting and fixing accessibility barriers.

工作流

• 1. Resident copies a messy field note into the Flask app.
• 2. The app sends the note to the Tinker fine‑tuned model.
• 3. Model outputs structured JSON with missing evidence and a concrete measurement instruction.
• 4. Resident follows the instruction, measures the barrier on site.
• 5. Resident submits the measurement back to the city, completing the work order.

证据

The model returns a structured civic report and the single most useful measurement you still have to go take: "missing: the vertical lip height at the bottom of the ramp. Go measure it in inches; anything over 1/4 in is a barrier."

来源

In all three, the model correctly identifies that the resident described the problem but not the dimension a crew needs, and it hands back a single, concrete thing to go measure.

来源

The model does not echo the real address. It hallucinates a plausible‑looking Cambridge address… The product’s answer to "the model guessed the address" is the same as its answer to any missing field: a human verifies it on the ground.

来源