February 2025
Intermediate
376 pages
9h 25m
Japanese
Content preview from 仕組みからわかる大規模言語モデル 生成AI時代のソフトウェア開発入門
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1
のように得ることができます。
お婆さんが住んでいました。…幸せに暮らしました。
なお、最終的な出力では、文章の始まりと終わりを表す特殊トークン（
<|begin_of_text|>
と
<|end_of_text|>
）は削除されます。
1.2.2
対話型（Conversational）LLM
対話型LLMは、人との会話を想定した大規模言語モデルのことです。対話型LLMは、事前
学習済み言語モデルに対して、会話データを用いてファインチューニングを行うことで実現さ
れます。会話データにはロール（役割）があり、よく使われるロールはユーザ（Human：人間）
とアシスタント（AI）です。会話データではユーザとアシスタントが交互に発言します。
対話型LLM への入力は会話履歴とユーザの発言です。会話開始時には、会話履歴は空で、
ユーザの発言が入力となります。対話型LLMは、会話履歴とユーザの発言に続く自然な応答
を生成します。
図1.2.3 に対話型LLMの入出力例を示します。
図1.2.3
例えば、次のような会話履歴を考えてみましょう。
ユーザ: 「こんにちは！」
アシスタント: 「こんにちは。ご用件は何でしょうか？」
ユーザ: ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.