Gemini API : Tutorials : クイックスタート with Dart or Flutter (2) 高度なユースケース

翻訳 : クラスキャット セールスインフォメーション
作成日時 : 03/30/2024

* 本ページは、ai.google.dev の以下のページを参考にしてまとめ直し、適宜、補足説明したものです ：

• Gemini API: Quickstart: Get started with the Gemini API in Dart or Flutter apps

* サンプルコードの動作確認はしておりますが、必要な場合には適宜、追加改変しています。
* ご自由にリンクを張って頂いてかまいませんが、sales-info@classcat.com までご一報いただけると嬉しいです。

 

 

Gemini API : Tutorials : クイックスタート with Dart or Flutter (2) 高度なユースケース

高度なユースケースの実装

このクイックスタートの前のセクションで説明された一般的なユースケースは Gemini API の使用に慣れるのに役立ちます。このセクションはより高度と考えても良い幾つかのユースケースを説明します。

 

埋め込みの使用

埋め込み は、情報を配列内の浮動小数点数のリストとして表現するために使用されるテクニックです。Gemini では、テキスト (単語、センテンス、そしてテキストブロック) をベクトル化形式で表現できて、埋め込みを比較して対比することを簡単にします。例えば、類似の主題や感情を共有する 2 つのテキストは類似の埋め込みを持つはずで、コサイン類似度のような数学的比較テクニックで識別できます。

embedding-001 モデルを embedContent メソッド (or batchEmbedContent メソッド) を使用して埋め込みを生成します。以下の例は単一文字列の埋め込みを生成します :

final model = GenerativeModel(model: 'embedding-001', apiKey: apiKey);
final content = Content.text('The quick brown fox jumps over the lazy dog.');
final result = await model.embedContent(content);
print(result.embedding.values);

次元も確認しながら実行してみます :

  print(result.embedding.values.runtimeType);
  print(result.embedding.values.length);
  print(result.embedding.values);

List<double>
768
[0.032336958, -0.03396037, -0.027726771, -0.012424928, -0.011384349, -0.01853796, 0.017267369, -0.021931972, 0.020717438, 0.0089066, 0.04232299, 0.028359808, 0.025396043, -0.0051297373, -0.025285156, 0.039866544, 0.033191703, 0.010049222, 0.0063408785, -0.031961948, 0.0189469, -0.006456944, 0.0014802197, -0.0038130467, 0.014842022, -0.049938638, 0.0007280296, -0.002805921, -0.0123902345, 0.02016131, -0.06159083, -0.007173075, -0.028710015, -0.0455644, -0.021667402, -0.041986067, 0.023745248, 0.07365278, 0.029186416, 0.03539883, -0.004358732, 0.016817117, -0.00062712346, -0.039941788, 0.060917053, -0.0013556246, 0.015275538, 0.03560461, -0.0029514167, -0.02192297, 0.025638483, 0.019202853, 0.029512899, 0.0023507602, -0.006253197, -0.05871294, 0.01429728, 0.011028568, -0.010641286, 0.01677874, 0.026633726, 0.02959797, 0.01953543, 0.08328088, -0.040456496, -0.019944478, -0.018885735, 0.013208068, 0.051073402, 0.004900487, -0.032869305, -0.054023996, 0.03603293, 0.018404966, -0.031487092, -0.08192168, -0.035312295, 0.047202744, 0.04947702, 0.0721263, 0.013305099, -0.041166436, -0.01688261, -0.032625068, -0.08039006, 0.06753433, -0.053055678, 0.0054780333, 0.0017864329, 0.027857378, -0.042993724, 0.02466588, 0.04110111, -0.00416641, -0.0019488288, 0.039583527, -0.011327117, -0.002798628, -0.014613139, -0.0010563345, 0.029986393, -0.045266293, 0.024644094, 0.039692923, 0.034426387, 0.0067070695, -0.02790513, 0.054989964, 0.013054125, 0.014085011, -0.04477315, -0.016319169, -0.023324441, -0.034196686, 0.03187598, 0.013217134, -0.039923176, 0.07087611, 0.029571129, -0.0053089103, 0.020551113, 0.044364695, 0.0067249867, -0.0078653805, -0.010215683, 0.033644933, -0.017992727, 0.005047495, 0.056235325, 0.014371528, -0.0076239887, -0.04640083, 0.02669345, -0.01656344, 0.025519965, 0.11336891, 0.024059663, 0.04589256, 0.02490275, 0.003110667, -0.029647578, -0.0222439, -0.026139844, 0.01931821, 0.01654704, 0.036788035, 0.0007958222, -0.049739, 0.00108973, -0.003235362, -0.0077074817, 0.020472866, -0.042298924, 0.020771906, 0.09888364, -0.014579108, 0.013579523, 0.00018937442, 0.01655351, -0.05571713, 0.05904955, 0.057563823, -0.012788282, 0.019943394, 0.0073396424, -0.0032745353, 0.060394194, 0.003057888, 0.009276616, 0.049977623, 0.011092379, 0.0191446, -0.07770395, -0.041128546, -0.03354997, -0.055178564, 0.014324388, -0.038891688, -0.023431286, -0.022805018, -0.04298499, -0.00757757, -0.015734004, -0.0035888704, 0.043524265, -0.029101646, 0.082193725, -0.004508912, -0.023996672, -0.016217789, -0.017469019, -0.017221697, -0.023660949, 0.0059831417, -0.024615273, 0.061420362, -0.01912283, -0.007019811, -0.0081650065, -0.05005804, -0.013431402, 0.10868937, 0.00251598, 0.0042945277, 0.040151883, -0.006292468, 0.07266786, -0.03617835, -0.034184128, 0.023952236, -0.041006148, -0.0026689763, -0.07408744, 0.013415547, 0.029583715, 0.00046928268, -0.019659996, 0.06741568, 0.009771831, -0.030877825, -0.004215989, -0.012843047, -0.05314301, 0.03452379, 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-0.02923776, 0.012541935, -0.055540714, -0.017934468, -0.015081886, 0.0074236384, 0.052413628, 0.030358177, -0.0109208, 0.047870636, 0.0059331073, -0.0054281116, -0.067624696, 0.026002105, 0.01894475, 0.004061272, 0.032956693, -0.006386759, 0.029362787, 0.06501279, 0.027053254, -0.014738349, 0.0060297516, -0.02035153, -0.037889745, 0.018741576, 0.0025878244, -0.041711316, -0.0014542738, -0.05890166, -0.026041897, 0.022820232, -0.020766534, -0.018826094, -0.010698375, -0.011758716, -0.0069981986, 0.0038640858, 0.026282331, 0.010940936, -0.07265354, -0.067941464, -0.0534966, 0.06788664, -0.04634846, 0.008681895, 0.035899036, 0.00090501446, 0.031129947, -0.013914639, 0.008345427, -0.040792234, -0.06513925, 0.029457733, 0.0014581829, -0.0032925056, 0.02503672, 0.031309515, -0.015370749, 0.009095744, -0.008025841, -0.04397014, -0.059155922, -0.007831518, 0.0141836135, 0.021355322, -0.07709276, 0.018452857, -0.039068177, 0.056808114, -0.01633988, -0.083171554, 0.0022092296, 0.01853494, -0.061157804, 0.019269116, -0.110981114, 0.016207144, -0.06659956, 0.007522194, -0.05844709, 0.017266665, -0.029558547, -0.036720917, 0.01587376, -0.039522007, -0.014241538, -0.033226676, -0.014188877, -0.04668781, -0.078173526, 0.048105784, -0.060876317, 0.074095085, -0.026579648, 0.042785205, 0.024564803, 0.027803551, -0.00086005783, 0.04287008, 0.036293346, -0.054125056, -0.0076707327, -0.031230507, 0.008643026, 0.016552778, -0.0076894364, 0.005559875, 0.043178655, 0.058502924, -0.012256812, -0.019899111, 0.020710435, 0.032546353, -0.03995025, 0.037835263, 0.0063473787, -0.015628217, 0.0023447846, 0.0152206225, -0.0059306356, -0.0066993195, -0.0103943525, 0.028567553, 0.04722186, 0.021167954, 0.022960741, 0.006805862, -0.017356444, -0.0053223725, -0.03431372, 0.0934665, -0.05657737, -0.014353526, 0.051591095, -0.008675835, -0.000050428902, -0.0005363113, 0.03374212, 0.016658643, 0.018469587, 0.065601185, 0.008405208, -0.051295582, -0.033323623, 0.017316498, 0.038240198, 0.047054257, 0.0090066055, -0.053658847, -0.010495786, 0.014099099, -0.074205995, -0.02462619, 0.03547262, -0.016977305, 0.015479314, -0.012337103, 0.14135681, -0.02563976, 0.003777088, 0.033422656, -0.02588879, 0.009922313, 0.0018289598, 0.014408518, -0.00461116, 0.04169585, 0.02718268, -0.03239908, 0.03320312, -0.055684473, -0.0057141283, 0.05903441, -0.07603333, 0.008333892, -0.025576498, -0.008907559, -0.058755588, 0.036596105, -0.0069930125, 0.05383078, -0.022304129, 0.0073299822, 0.0042936215, 0.00044536853, 0.011106242, 0.05413472, -0.015437555, -0.008206491, 0.0034293719, 0.05868624, 0.0358753, 0.020986529, 0.033901036, 0.044448383, -0.014808377, 0.023080243, -0.013897509, 0.027612658, -0.026600638, 0.02709587, -0.033599153, 0.0117962165, 0.0045110905, 0.04102204, 0.021428287, 0.0094100805, -0.031655557, 0.018059436, -0.022171412, -0.046253975, 0.094975054, -0.023772107, 0.027385898, 0.0578988, 0.018921057, -0.047004946, 0.0008187392, -0.04822371, -0.028795103, 0.025475288, -0.0009054649, 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0.059201956, -0.00322523, -0.048468962, 0.038401995, 0.0648428, -0.016174996, 0.08403311, 0.037713714, -0.022824094, -0.028186982, -0.05812116, 0.04026406, 0.022018313, 0.02013592, -0.003956713, 0.023307927, 0.00021944741, -0.005819315, -0.06433088, 0.035458006, 0.0029320177, -0.030040652, 0.00079366355, 0.05292984, 0.010501671, -0.026224012, -0.017785562, -0.011641233, 0.042725485, -0.03280889, 0.013367531, -0.05878963, -0.015494038, -0.003807543, -0.017448686, 0.050455682, 0.012623333, 0.012125379, 0.0187406, 0.000012293012, -0.03189785, -0.0514074, 0.04231371, 0.026462127, -0.040085696, -0.018803477, 0.027365278, -0.027403146, 0.01688107, 0.085870646, 0.03542614, 0.0729018, -0.007901625, -0.008360744, 0.06274513, -0.037233576, 0.056035936, -0.0034819474, -0.022136912, 0.098531954, 0.0006518045, 0.008968756, 0.03896015, 0.0007091108, 0.09503313, 0.0027620466, 0.003808868, 0.011686908, -0.04146168, -0.01840291, -0.007437662, 0.027359616, 0.0756115, 0.028751737, 0.0004644983, 0.0013451073, -0.021575486, -0.014792508, -0.000016037275, -0.05820948, -0.022567075, -0.029740607, 0.038118705, 0.0676471, -0.036067657, -0.025507502, 0.015773289, 0.03413252, 0.016298074, -0.08078062, 0.05824293, -0.023873562, 0.03403271, 0.004333647, 0.004181016, 0.00018548759, -0.018472407]

768 次元です。日本語でも確認してみます。 :

  final content = Content.text('素早い茶色のキツネが怠惰な犬を飛び越えます。');

List<double>
768
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トークンをカウントする

長いプロンプトを使用する場合、コンテンツをモデルに送信する前にトークンをカウントすることは有用かもしれません。以下の例は様々なユースケースのために countTokens() を使用する方法を示します :

// For text-only input
final tokenCount = await model.countTokens(Content.text(prompt));
print('Token count: ${tokenCount.totalTokens}');

// For text-and-image input (multimodal)
final tokenCount = await model.countTokens([
  Content.multi([prompt, ...imageParts])
]);
print('Token count: ${tokenCount.totalTokens}');

// For multi-turn conversations (like chat)
final prompt = Content.text(message);
final allContent = [...chat.history, prompt];
final tokenCount = await model.countTokens(allContent);
print('Token count: ${tokenCount.totalTokens}');

 
以下のコードで確認してみます :

  final model = GenerativeModel(model: 'gemini-pro', apiKey: apiKey);

  final prompt = 'The quick brown fox jumps over the lazy dog.';
  final tokenCount = await model.countTokens([Content.text(prompt)]);
  print('Token count: ${tokenCount.totalTokens}');

Token count: 11

日本語の場合 :

  final prompt = '素早い茶色のキツネが怠惰な犬を飛び越えます。';

Token count: 18

  final prompt = '猫がいる';final prompt = '猫がいる';

Token count: 3

 

コンテンツ生成を制御するオプション

モデルパラメータを構成設定してセーフティ設定を使用することでコンテンツ生成を制御することができます。

generationConfig や safetySettings を (generateContent のような) モデル・リクエスト・メソッドに渡すことは、getGenerativeModel で渡された同じ名前を持つ　configuration　オブジェクトを完全にオーバーライドすることに注意してください。

 

モデルパラメータの構成設定

モデルに送信するすべてのプロンプトは、モデルが応答を生成する方法を制御するパラメータ値を含みます。モデルは異なるパラメータ値に対して異なる結果を生成できます。Model パラメータ について更に学習してください。モデルインスタンスのライフタイムの間、configuration は維持されます。

final generationConfig = GenerationConfig(
  stopSequences: ["red"],
  maxOutputTokens: 200,
  temperature: 0.9,
  topP: 0.1,
  topK: 16,
);
final model = GenerativeModel(
  model: 'MODEL_NAME',
  apiKey: apiKey,
  generationConfig: generationConfig,
);

 

セーフティ設定の使用

セーフティ設定を使用して、有害であると考えられる応答を得る尤度を調整することができます。デフォルトでは、セーフティ設定はすべての次元に渡り安全でないコンテンツである確率が中程度 and/or 高いコンテンツをブロックします。セーフティ設定 について更に学習してください。

ここに一つのセーフティ設定を設定する方法があります :

final safetySettings = [
  SafetySetting(HarmCategory.harassment, HarmBlockThreshold.high)
];
final model = GenerativeModel(
  model: 'MODEL_NAME',
  apiKey: apiKey,
  safetySettings: safetySettings,
);

You can also set more than one safety setting:

final safetySettings = [
  SafetySetting(HarmCategory.harassment, HarmBlockThreshold.high),
  SafetySetting(HarmCategory.hateSpeech, HarmBlockThreshold.high),
];

以上