#１ヶ月間GPT-3のことしか考えなかったエンジニアが解説します
1 あるページ内で利用するカスタムパイプを作成する．ngForで繰り返した要素に対して文字列をサニタイズする方法について．一つの要素だけであれば下記方法に従えばできるが，ngForで繰り返した要素に対してサニタイズする方 […]
#１ヶ月間GPT-3のことしか考えなかったエンジニアが解説します
1 あるページ内で利用するカスタムパイプを作成する．ngForで繰り返した要素に対して文字列をサニタイズする方法について．一つの要素だけであれば下記方法に従えばできるが，ngForで繰り返した要素に対してサニタイズする方 […]
例はこちら
これはツイート感情分類子です
ツイート：「新しいバットマン映画が大好きでした！」
感情：ポジティブ
＃＃＃
ツイート：「携帯電話のバッテリーがなくなると嫌いです。」
感情：否定的
＃＃＃
ツイート：「私の一日は?」
感情：ポジティブ
＃＃＃
ツイート：「これは記事へのリンクです」
感情：ニュートラル
＃＃＃
ツイート：「この新しいミュージックビデオは私の心を吹き飛ばしました」
感情： 応用例はこんな感じ
This is a tweet sentiment classifier\
Tweet: "I loved the new Batman movie!"\
Sentiment: Positive\
###\
Tweet: "I hate it when my phone battery dies"\
Sentiment: Negative\
###\
Tweet: "My day has been ?"\
Sentiment: Positive\
###\
Tweet: "This is the link to the article"\
Sentiment: Neutral\
###\
Tweet text
"I loved the new Batman movie!"
"I hate it when my phone battery dies"
"My day has been ?"
"This is the link to the article"
"This new music video blew my mind"
Tweet sentiment ratings:
1: Positive
2: Negative
3: Positive
4: Neutral
5: Positive
###
Tweet text
"I can't stand homework"
"This sucks. I'm bored ?"
"I can't wait for Halloween!!!"
"My cat is adorable ❤️❤️"
"I hate chocolate"
Tweet sentiment ratings:
1.import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="This is a tweet sentiment classifier\n\nTweet: \"I loved the new Batman movie!\"\nSentiment: Positive\n###\nTweet: \"I hate it when my phone battery dies\"\nSentiment: Negative\n###\nTweet: \"My day has been ?\"\nSentiment: Positive\n###\nTweet: \"This is the link to the article\"\nSentiment: Neutral\n###\n\nTweet text\n1. \"I loved the new Batman movie!\"\n2. \"I hate it when my phone battery dies\"\n3. \"My day has been ?\"\n4. \"This is the link to the article\"\n5. \"This new music video blew my mind\"\n\nTweet sentiment ratings:\n1: Positive\n2: Negative\n3: Positive\n4: Neutral\n5: Positive\n\n###\n\nTweet text\n1. \"I can't stand homework\"\n2. \"This sucks. I'm bored ?\"\n3. \"I can't wait for Halloween!!!\"\n4. \"My cat is adorable ❤️❤️\"\n5. \"I hate chocolate\"\n\nTweet sentiment ratings:\n1.",
temperature=0.2,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=["###"]
)結構これがすごい．
教育とバーチャルリアリティに関するアイデア
1. 仮想火星
学生はバーチャルリアリティを介して火星を探索し、見たものを収集してカタログ化するミッションに進みます。
2.import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="Ideas involving education and virtual reality\n\n1. Virtual Mars\nStudents get to explore Mars via virtual reality and go on missions to collect and catalog what they see.\n\n2.",
temperature=0.7,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)最低限で動かすならこれでもいいが，これは不十分な例．
以下はAIアシスタントとの会話です。アシスタントは親切で、創造的で、賢く、そしてとてもフレンドリーです。
人間：こんにちは、あなたは誰ですか？
AI：私はOpenAIによって作成されたAIです。今日はなんか手伝うことある？
人間： 上記を考慮するとより適切にはこのような例になる．
Marvは、しぶしぶ質問に答えるチャットボットです。
＃＃＃
ユーザー：1キログラムは何ポンドですか？
マーブ：これも？キログラムには2.2ポンドあります。これをメモしてください。
＃＃＃
ユーザー：HTMLは何の略ですか？
Marv：Googleは忙しすぎましたか？ハイパーテキストマークアップ言語。Tは、将来、より良い質問をしようとするためのものです。
＃＃＃
ユーザー：最初の飛行機が飛ぶのですか？
マーヴ：1903年12月17日、ウィルバーとオーヴィルライトが初飛行を行いました。彼らが来て私を連れ去ってくれたらいいのにと思います。
＃＃＃
ユーザー：宇宙で最初の人は誰でしたか？
マーブ： import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="Marv is a chatbot that reluctantly answers questions.\n\n###\nUser: How many pounds are in a kilogram?\nMarv: This again? There are 2.2 pounds in a kilogram. Please make a note of this.\n###\nUser: What does HTML stand for?\nMarv: Was Google too busy? Hypertext Markup Language. The T is for try to ask better questions in the future.\n###\nUser: When did the first airplane fly?\nMarv: On December 17, 1903, Wilbur and Orville Wright made the first flights. I wish they’d come and take me away.\n###\nUser: Who was the first man in space?\nMarv:",
temperature=0.8,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=["###"]
)モデルの学習済みのデータを使えるのでこれでいい
English: I do not speak French.
French: Je ne parle pas français.
English: See you later!
French: À tout à l'heure!
English: Where is a good restaurant?
French: Où est un bon restaurant?
English: What rooms do you have available?
French: Quelles chambres avez-vous de disponible?
English:import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
start_sequence = "\nFrench:"
restart_sequence = "\n\nEnglish: "
response = openai.Completion.create(
engine="davinci",
prompt="English: I do not speak French.\nFrench: Je ne parle pas français.\n\nEnglish: See you later!\nFrench: À tout à l'heure!\n\nEnglish: Where is a good restaurant?\nFrench: Où est un bon restaurant?\n\nEnglish: What rooms do you have available?\nFrench: Quelles chambres avez-vous de disponible?\n\nEnglish: ",
temperature=0.5,
max_tokens=100,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=["\n"]
)似たような例でこれでもいい．
Back to Future: ????
Batman: ??
Transformers: ??
Wonder Woman: ??????????
Spider-Man: ??????
Winnie the Pooh: ???
The Godfather: ?????♂️??
Game of Thrones: ????
Spider-Man:import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="Back to Future: ????\n\nBatman: ??\n\nTransformers: ??\n\nWonder Woman: ??????????\n\nWinnie the Pooh: ???\n\nThe Godfather: ?????♂️??\n\nGame of Thrones: ????\n\nSpider-Man:",
temperature=0.7,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)My ten-year-old asked me what this passage means:
"""
A neutron star is the collapsed core of a massive supergiant star, which had a total mass of between 10 and 25 solar masses, possibly more if the star was especially metal-rich.[1] Neutron stars are the smallest and densest stellar objects, excluding black holes and hypothetical white holes, quark stars, and strange stars.[2] Neutron stars have a radius on the order of 10 kilometres (6.2 mi) and a mass of about 1.4 solar masses.[3] They result from the supernova explosion of a massive star, combined with gravitational collapse, that compresses the core past white dwarf star density to that of atomic nuclei.
"""
I rephrased it for him, in plain language a ten-year-old can understand:
"""import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="My ten-year-old asked me what this passage means:\n\"\"\"\nA neutron star is the collapsed core of a massive supergiant star, which had a total mass of between 10 and 25 solar masses, possibly more if the star was especially metal-rich.[1] Neutron stars are the smallest and densest stellar objects, excluding black holes and hypothetical white holes, quark stars, and strange stars.[2] Neutron stars have a radius on the order of 10 kilometres (6.2 mi) and a mass of about 1.4 solar masses.[3] They result from the supernova explosion of a massive star, combined with gravitational collapse, that compresses the core past white dwarf star density to that of atomic nuclei.\n\"\"\"\n\nI rephrased it for him, in plain language a ten-year-old can understand:\n\"\"\"",
temperature=1,
max_tokens=64,
top_p=0.88,
frequency_penalty=0,
presence_penalty=0,
stop=["\"\"\""]
)tl;dr:を使って要約することもできる．
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="Jupiter is the fifth planet from the Sun and the largest in the Solar System. It is a gas giant with a mass one-thousandth that of the Sun, but two-and-a-half times that of all the other planets in the Solar System combined. Jupiter is one of the brightest objects visible to the naked eye in the night sky, and has been known to ancient civilizations since before recorded history. It is named after the Roman god Jupiter.[19] When viewed from Earth, Jupiter can be bright enough for its reflected light to cast visible shadows,[20] and is on average the third-brightest natural object in the night sky after the Moon and Venus.\n\nJupiter is primarily composed of hydrogen with a quarter of its mass being helium, though helium comprises only about a tenth of the number of molecules. It may also have a rocky core of heavier elements,[21] but like the other giant planets, Jupiter lacks a well-defined solid surface. Because of its rapid rotation, the planet's shape is that of an oblate spheroid (it has a slight but noticeable bulge around the equator).\n\ntl;dr:",
temperature=0.3,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=["\n"]
)tl;dr: Jupiter is a gas giant, the largest planet in the solar system. It is the fifth planet from the Sun and the largest in the solar system. It is a gas giant with a mass one-thousandth that of the Sun, but two-and-a-half times that of all the other planets inある程度次に来るものが決まっている場合はこれが使える．
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="```\nimport React from 'react';\nconst ThreeButtonComponent=()=>(\n<div>\n<p>Button One</p>\n<button className=\"button-green\" onClick={this.handleButtonClick}>Button One</button>\n<p>Button Two</p>\n<button className=\"button-green\" onClick={this.handleButtonClick}>Button Two</button>\n<p>Button Three</p>\n<button className=\"button-green\" onClick={this.handleButtonClick}>Button Three</button>\n</div>\n)\n''''\nimport React from 'react';\nconst HeaderComponent=()=>(",
temperature=0.7,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)自動で
<div>
<h1>Header</h1>
</div>を追加してくれる
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="Vertical farming provides a novel solution for producing food locally, reducing transportation costs and",
temperature=0.29,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)生成されるものはこちら
(Vertical farming provides a novel solution for producing food locally, reducing transportation costs and) energy use, and reducing the environmental impact of agriculture.
The vertical farm is a controlled environment where crops are grown indoors, usually in stacked layers.
The vertical farm is a controlled environment where crops are grown indoors, usually in stacked layers.
Vertical farming provides a novel solution for producing food locallyQ：バットマンとは誰ですか？
A：バットマンは架空の漫画のキャラクターです。
＃＃＃
Q：torsalplexityとは何ですか？
A：？
＃＃＃
Q：Devz9とは何ですか？
A：？
＃＃＃
Q：ジョージ・ルーカスとは誰ですか？
A：ジョージ・ルーカスは、スターウォーズの作成で有名なアメリカの映画監督兼プロデューサーです。
＃＃＃
Q：カリフォルニアの首都はどこですか？
A：サクラメント。
＃＃＃
Q：地球を周回するのは何ですか？
A：月。
＃＃＃
Q：フレッドリッカーソンとは誰ですか？
A：？
＃＃＃
Q：アトムとは何ですか？
A：原子は、すべてを構成する小さな粒子です。
＃＃＃
Q：Alvan Muntzとは誰ですか？
A：？
＃＃＃
Q：Kozar-09とは何ですか？
A：？
＃＃＃
Q：火星にはいくつの衛星がありますか？
A：2つ、フォボスとデイモス。
＃＃＃
Q：import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
engine="davinci",
prompt="Q: Who is Batman?\nA: Batman is a fictional comic book character.\n###\nQ: What is torsalplexity?\nA: ?\n###\nQ: What is Devz9?\nA: ?\n###\nQ: Who is George Lucas?\nA: George Lucas is American film director and producer famous for creating Star Wars.\n###\nQ: What is the capital of California?\nA: Sacramento.\n###\nQ: What orbits the Earth?\nA: The Moon.\n###\nQ: Who is Fred Rickerson?\nA: ?\n###\nQ: What is an atom?\nA: An atom is a tiny particle that makes up everything.\n###\nQ: Who is Alvan Muntz?\nA: ?\n###\nQ: What is Kozar-09?\nA: ?\n###\nQ: How many moons does Mars have?\nA: Two, Phobos and Deimos.\n###\nQ:\n",
temperature=0,
max_tokens=64,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=["###"]
)1
あるページ内で利用するカスタムパイプを作成する．ngForで繰り返した要素に対して文字列をサニタイズする方法について．一つの要素だけであれば下記方法に従えばできるが，ngForで繰り返した要素に対してサニタイズする方法について．
ionic g pipe app-summarization/customPipe1そうすると，そのページのモジュールページに下記のコードが追加される．もしされない場合は手動で追加する．
import { CustomPipe1Pipe } from ‘./custom-pipe1.pipe’;
@NgModule({
imports: [
**],
declarations: [**,CustomPipe1Pipe]
})
今回はcustom-pipe1.pipe.tsでサニタイズするので
import { Pipe, PipeTransform } from '@angular/core';
import { DomSanitizer } from '@angular/platform-browser';
@Pipe({
name: 'sanitizeHTML'
})
export class CustomPipe1Pipe implements PipeTransform {
constructor(private sanitizer: DomSanitizer) {}
transform(code) {
return this.sanitizer.bypassSecurityTrustHtml(code);
}
}
使う場所はこんな感じ
<div *ngFor="let message of messages;">
<div [ngSwitch]="message['isAi']">
<div *ngSwitchCase="'true'">
<div class="media" >
<div class="media-left">
<a href="#" class="icon-rounded">AI</a>
</div>
<div class="media-body">
<h4 class="media-heading">Sunny Date:2021/04/17</h4>
<div [innerHTML]="message.message">{{message.message| sanitizeHTML}}</div>
</div>
</div>
</div>
</div>
</div>Twitterやってます．
メールで連絡いただければ迅速に対応いたします