Fine-tuning

미세 조정

Continue training a base model on examples to adapt its output behavior to a task.

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html
<div class="scene"><div class="heading">SAME INPUT · DIFFERENT BEHAVIOR</div><div class="tune-input">입력: “상태를 짧게 보고”</div><div class="tune-compare"><div><b>기본 모델</b><p>현재 진행 상황을 자세히 설명하면…</p></div><div class="adapted"><b>조정 모델</b><p>완료 / 검수 대기</p></div></div><div class="muted" id="tune-note">예시 학습 전</div></div>
css
.scene{width:min(94vw,800px);height:min(88vh,326px);padding:clamp(10px,2.7vmin,19px);border:1px solid var(--line);border-radius:13px;background:var(--surface);font:500 clamp(13px,2.4vmin,17px)/1.3 var(--font-sans,sans-serif);position:relative;overflow:hidden}.scene .mono{font-family:ui-monospace,SFMono-Regular,monospace}.scene .muted{color:var(--muted)}.scene .accent{color:var(--accent)}.scene .heading{font-weight:750;color:var(--accent);margin-bottom:clamp(5px,1.6vmin,12px)}.tune-input{border-left:3px solid var(--accent);padding:7px;background:var(--bg);margin-bottom:7px}.tune-compare{display:grid;grid-template-columns:1fr 1fr;gap:6px;height:54%}.tune-compare>div{border:1px solid var(--line);border-radius:7px;padding:clamp(6px,1.8vmin,12px);background:var(--bg);min-width:0}.tune-compare b{color:var(--accent)}.tune-compare p{margin:8px 0 0}.tune-compare .adapted{opacity:.48;transition:opacity .4s,border-color .4s}.tune-compare .adapted.on{opacity:1;border-color:var(--accent)}
js
let trained=false;function draw(){trained=!trained;document.querySelector('.adapted').classList.toggle('on',trained);document.getElementById('tune-note').textContent=trained?'예시 학습 후 · 출력 형식 일치':'예시 학습 전'}draw();setInterval(draw,2300)

Fine-tuning updates a base model’s weights with input and target-output examples. It can reinforce a recurring format or domain style, but it is not a substitute for a store of frequently changing facts.

The demo compares base and adapted outputs for the same input. In practice, use a held-out evaluation set to check improvement and overfitting.

When to use

Use it when representative examples exist and prompting alone does not make a recurring behavior reliable.

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