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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出力パーサ
5.4
LLMの出力は、通常、文字列で返されます。しかし、LLMの出力をプログラムで利用する
際には、文字列を解析してデータ構造に変換する必要があります。この解析処理を行うコン
ポーネントが出力パーサです。LangChainは、表 5.4.1に示すように様々な出力パーサを提供
しています。
パーサの入力は、LLM からの出力を想定しているため、文字列またはメッセージです。文
字列やメッセージの中身はパーサが期待する文法に従っている必要があります。例えば、
JsonOutputParser
が期待するメッセージの中身はJSON の文法に従ったデータである必要が
あります。パーサの出力は解析されたデータ構造で、パーサごとに異なります。例えば、
StrOutputParser
は文字列をそのまま返します。一方、
JsonOutputParser
はJSON オブジェク
トを返します。
表5.4.1
クラス名 出力 説明
StrOutputParser 文字列 単純な文字列として応答を返します。最も基本的で
柔軟な出力パーサの一つです。
JsonOutputParser JSON オブジェクト 指定されたJSONオブジェクトを返します。関数呼
び出しを使用しないで構造化データを得るための最
も信頼性の高い出力パーサです。
XMLOutputParser 辞書 タグの辞書を返します。XML出力が必要な場合に使
用します。
CommaSeparatedListOutputParser 文字列のリスト
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.