Country Persona / Data walkthroughActual artifacts · 30 September 2026 trial
Original evidence → LLM processing → SFT example

From source to training point.

Follow two real training examples from full UN statements to the checked bullet plan, the final input and target, and the small model’s actual answers.

2actual training points, both included
4dated country delegations per point
4B / 20Qwen3.5 parameters / optimizer steps

What this trial learns: turn a supplied, source-checked plan into a comparative memo. The plans and targets are assistant-authored. The original statements are UN records. Only the final target text is supervised during SFT.

Choose an actual example

Short excerpts first. Full saved text and raw records are one click away.
01 / Original data

What the sources actually say.

These are the complete bounded national statements in the saved English UN extraction, with the source document and page locations retained. The original meeting PDFs contain additional speakers.

Full original diagnostic input, including earlier model notes

The notes are earlier model outputs, not official statements. This is the saved source task; it is not a recovered teacher API transcript.

02 / LLM-processed data

The checked content plan.

The session’s assistant read the source statements and authored bullets for each delegation, plus bounded common ground, differences and an analyst proposal. This preserves the content the small model is given.

Full annotated plan JSON and authorship

Quote locations and hashes check provenance. Plan semantics were reviewed by the same assistant; independent review remains pending. No separate teacher endpoint was called or standalone teacher conversation saved.

03 / Final training point

Exactly what the student trains on.

04 / Actual model output

What Qwen3.5-4B wrote.

Source files, run setup and exact-data checks