쉐도잉 연습: How to Build AI ChatBot with Custom Knowledge Base in 10 mins - 영상으로 영어 말하기 배우기

레슨 만드는 중...
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what if you could turn your website
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and all of those pdf documents manuals guides ebooks
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and reports into a helpful chatbot imagine asking questions
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and getting instant answers directly from your website your documents
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or any ebook well guess what i found a way to
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do this in less than 10 minutes in this video i'll
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show you how easy it is to build your own ai
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chatbot with custom knowledge base without any coding skills you can do this for your business
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or other businesses
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and start making money by the end of this tutorial video
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not only you'll be able to create a chat bot
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and train your ai based on your own data using pdf html txt csv word documents
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and powerpoint presentation files but also integrate the chatbot into your website facebook messenger Slack, Discord, or Telegram.
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In this video, you'll learn how to create a data store agent, how to add unstructured data to your agent's data store,
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how to enable voice and chat experiences for your agent, how to test agent and simulate customer questions, how to view conversation history and analytics for your agent,
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all of that in about 10 minutes.
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Without any further ado, Let's get started.
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Alright, so before we start, let me show you the document that we'll be using as the data source.
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This is budget of the US government and it's 188 pages long.
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So to get started, we'll go to cloud .gibble .com and log in with your account and click on console.
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So, from the console, click Search for Agent Builder.
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Click on Agent Builder.
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Before creating a new app, make sure that the Vertex AI API and the Dialogflow APIs are enabled.
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If they're not enabled, you'll get a prompt and then you can enable it on the screen.
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Select Chat and provide the company name.
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Provide the agent name
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Click continue
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We'll create a datastore This is where we can create a datastore Click on create datastore
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You get three options here You can provide a website URL
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And it will automatically crawl website content From a list of domains
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that you defined You can provide the data from your storage bucket, or you can import data manually by calling the API.
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I'll select the cloud storage, and you can import a folder or you can import a file.
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I'll select File and hit Browse.
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I created this bucket earlier where I uploaded that PDF document that I showed you.
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I've already uploaded it.
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But for your case, you can upload any document to your cloud storage, and you'll be able to select it from here.
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Click Select.
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So PDF, HTML, text files, CSV, Word document, and presentation files fall under the unstructured documents.
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Now, you can use that as the data source, or you can use JSON -L for unstructured documents with metadata information.
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You can click on this link for more information, or you can use CSV file for structured frequently asked data.
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This is only for chat.
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But for our example, we're going to be using the unstructured document.
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Click on continue.
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I'm going to name the data store US budget 2025 -25 and click on create.
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It's going to create a data store.
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Okay, so it created a data store.
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I will select the data store and click on create.
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okay
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so the data store has been created over here I can
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click on over on this link to see more information on this screen I can see the activity
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and I need to make sure that data has been imported successfully without any errors.
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And we are using the digital parser.
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Now we can hit preview to see the preview.
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Now we'll test our agent.
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Testing is an important part of working with conversational agents to find the bugs, identify limitations and simulate a customer experience.
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You can start an interactive session with your chatbot
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So to see how it responds to various questions that a customer might ask, click on the test agent.
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Link at the top right -hand corner.
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This is where we can test the chatbot.
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We can write hello.
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And we have more control over estimating the response of the agent from the screen.
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We can enable logging by going here and checking this enable conversational history.
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By checking this box, we will get the conversation history.
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Let's suppose we put this on our website and people interact with our chatbot.
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And if you want to be able to see those interactions, you need to check this box and hit save.
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We'll click on manage, click on integration.
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Let me show you a very cool thing.
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You can add a phone gateway to your bot, which will make use of speech -to -text and text -to -speech capabilities in the Google Cloud.
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You can hit on this manage button to enable that feature
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but for now I'm happy with the text chatbot
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and text based I can click on connect we can enable this unauthenticated API
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which means that will allow people without authentication to interact with the chatbot
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and I'll click on enable unauthenticated API this is the code
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that you can use to put on your website
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and you'll get the chatbot on your website
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so to see how it would look like click on try it now
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and you get this um you get this icon at the bottom uh right hand corner
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so you click on this and this is the chat box
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that you you can put on your website what are president's top three hour credits for year 2025 Bye.
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The chatbot read the document and responded with prison -stopped economic parodies, lowering costs for American families.
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The administration is working to bring down the prescription drug costs, health insurance premiums, utility bills, costs for everyday goods, all while taking on junk fees that some allies,
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banks, and other companies used to rip off Americans it also is grounded the data
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and if i click on this link it will show me exactly where it found
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that information from and as you can see it's on page nine
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and this is where the chatbot found
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that information is lowering costs for hardworking americans the administration is
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working to bring down prescription drug costs health insurance we are grounding it with our own data source
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So let me ask it another question.
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Let me ask, what has the president invested in?
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The president has invested in America and the American people by signing into law historic legislation, such as the American Rescue Plan,
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the Bipartisan Infrastructure Law, the CHIPS, the Science Act, and the Inflation Reduction Act.
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Let me ask you another question like,
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what are some of the accomplishments of the Biden administration?
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The Biden administration has made historic investments in mental health care, including nearly $1 billion to support the 988 Suicide and Crisis Lifeline.
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The administration is also committed to investing in training more mental health professionals and has expanded certified community behavioral health clinics nationwide.
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When testing your virtual agent, if you find that your bot's answers do not meet your expectations,
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you can always add more URLs to the data source to improve how your bot handles questions and answers.
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You can add more URLs, you can add more documents.
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Other than testing many different paths the customer might make, how else can you determine where the problem and friction points are in your virtual agent?
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Conversation history and analytics help.
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So we enabled, I showed you where you can enable that conversation history under the agents.
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I already enabled that.
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And to get to that conversation history, you can click on conversation history and this is where you're going to see the conversation history.
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And I can click on any of these
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and it will show me my interaction with the chat bot
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I've asked it's going to show the history of my conversation
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and once you put that on your website
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and you would be able to see the interaction of your
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chat bot with your visitors website visitors congratulations using the verdicts
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ai conversation in dialogue flow cx you have successfully created a
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data store agent your virtual agent can answer hundreds of different questions about your website or
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any document pdf manual guides ebooks and reports etc
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that you may have you don't have to go through the
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manual process of creating a large number of intense training phrases response messages.
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We literally created this in less than 10 minutes.
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this video was requested in the comment section by a few of my subscribers i read all of the comments
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and i'd love to hear your thoughts feel free to share your ideas for upcoming videos
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if you don't have any questions
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or feedback you can support my work by just typing coding
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money in the comment section it really helps with the youtube algorithms
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if you found this video useful a thumbs up would be
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highly appreciated stay tuned for exciting new videos to ensure you don't miss out please subscribe
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and hit the notification bell icon you may also want to check out the video
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that pops up on the screen somewhere until next time thank you for watching

이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “How to Build AI ChatBot with Custom Knowledge Base in 10 mins”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: click, agent, document, website, chatbot. 이 영상에는 섀도잉할 문장 124개와 단어 1542개가 있습니다. 말하는 구간의 길이는 10:45입니다. 화자는 분당 약 143단어의 일정한 속도로 말해서 섀도잉하기에 편한 속도입니다. 단어의 82%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어발음뜻
select 동사/sɪˈlɛkt/고르다
cloud 명사/ˈklaʊ̯d/구름
import 명사/ˈɪm.pɔɹt/수입품
manual 명사/ˈmæn.j(u)əl/안내서, 매뉴얼
virtual 형용사/ˈvɜɹt͡ʃuəl/사실상의
interaction 명사/ˌɪn.təˈɹæk.ʃən/상호작용
upload 동사/ˈʌpˌloʊd/업로드하다, 올리다
presentation 명사/ˌpɹɛzn̩ˈteɪʃn̩/증정
icon 명사/ˈaɪ.kɑn/이콘, 성상
bucket 명사/ˈbʌkɪt/양동이
visitor 명사/ˈvɪzɪtɚ/방문객, 손님
prescription 명사/pɹəˈskɹɪp.ʃən/처방, 처방전
analytics 명사/ˌæn.əˈlɪt.ɪks/해석학, 애널리틱스
custom 명사/ˈkʌstəm/습관, 풍속
skill 명사/skɪl/기술, 스킬

영상에 나오는 구동사

단어뜻
miss out 동사놓치다
rip off 동사바가지 씌우다

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형영상 속 표현
조건문 if + 절, will/would + 동사 — 조건과 그 결과If they're not enabled, you'll get
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때I've already uploaded · has been created · has been imported
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점are enabled · has been created · has been imported

주의할 발음

화자는 we'll, you'll, I'll 같은 축약형과 약화된 형태를 25번 사용합니다. 들리는 대로 짧게 발음하세요.

  • “th” 소리: algorithm /ˈælɡəɹɪðm̩/, thumb /ˈθʌm/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/
  • “sh”와 “zh” 소리: interaction /ˌɪn.təˈɹæk.ʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, prescription /pɹəˈskɹɪp.ʃən/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/
  • 긴 단어 — 강세 위치에 주의: interaction /ˌɪn.təˈɹæk.ʃən/, successfully /səkˈsɛs.fə.li/, analytics /ˌæn.əˈlɪt.ɪks/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, utility /juːˈtɪlɪti/

한국어 화자가 어려워하는 소리:

  • /f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: successfully /səkˈsɛs.fə.li/, helpful /ˈhɛlp.fl̩/, feedback /ˈfiːdˌbæk/, define /dɪˈfaɪn/, phrase /ˈfɹeɪ̯z/
  • /v/ — ㅂ(/b/)과 구별하기: invest /ɪnˈvɛst/, virtual /ˈvɜɹt͡ʃuəl/, visitor /ˈvɪzɪtɚ/, preview /ˈpɹiːvjuː/, everyday /ˈɛvɹiˌdeɪ/
  • /z/ — ㅈ이 아니라 성대를 울리는 /s/: presentation /ˌpɹɛzn̩ˈteɪʃn̩/, visitor /ˈvɪzɪtɚ/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, phrase /ˈfɹeɪ̯z/

이 영상으로 연습하는 방법

  1. 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
  2. 보통 속도로 한 문장씩 섀도잉하고, 화자의 리듬과 맞을 때까지 반복합니다.
  3. 자신의 목소리를 녹음해 원본과 비교하고, select, cloud, import 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

섀도잉 방법: 단계별 전체 가이드 읽기 →