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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4
ここでは、
response
オブジェクトから最新のアシスタントの応答を取得し、
latest_
response
変数に格納しています。そして、その内容を表示しています。
response
オブジェク
トはAPI からの応答全体を表します。
choices
はAPI からの応答のリストです。この例では特
に複数の応答を返す設定をしていないため、
choices
の最初の要素を取得しています。
message
は応答の内容を表します。
content
は応答を文字列で保持しています。
このプログラムを実行すると、次のような応答が得られるはずです。
O U T
FORTRAN（Formula Translation）は、ジョン・バッカス（John Backus）を中心とするIBMのチーム
によって開発されました
文末に「。」が抜けているのは、ストップシーケンスで「。」を指定しているためです。
マルチモーダル
リスト 4.3.2 は、OpenAI API を使用して画像を含むマルチモーダルな質問応答を行う例で
す。具体的には、コマンドラインから画像ファイルを指定し、その画像に関する説明を求めま
す。ここでは、この例を用いてOpenAI API のマルチモーダル機能の使い方を説明します。
リスト4.3.2
import sys
import base64
from openai import OpenAI
def explain_image(filename: ...
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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.