शैडोइंग अभ्यास: What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn - वीडियो के साथ अंग्रेजी बोलना सीखें

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63 वाक्य
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Picture this, a machine that could organize your cupboard just as you like it, or serve every member of the house a customized cup of coffee.
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Makes your day easier, doesn't it?
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These are the products of artificial intelligence.
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But why use the term artificial intelligence?
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Well, these machines are artificially incorporated with human -like intelligence to perform tasks as we do.
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This intelligence is built using complex algorithms and mathematical functions.
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But AI may not be as obvious as in the previous examples.
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In fact, AI is used in smartphones, cars, social media feeds, video games,
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banking, surveillance, and many other aspects of our daily life.
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The real question is, what does an AI do at its core?
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Here is a robot we built in our lab, which is now dropped onto a field.
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In spite of a variation in lighting, landscape, and dimensions of the field, the AI robot must perform as expected.
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This ability to react appropriately to a new situation is called generalized learning.
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The robot is now at a crossroad, one that is paved and the other rocky.
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The robot must determine which path to take based on the circumstances.
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This portrays the robot's reasoning ability.
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After a short stroll, the robot now encounters a stream that it cannot swim across.
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Using the plank provided as an input, the robot is able to cross this stream.
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So, our robot uses the given input and finds the solution for a problem.
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This is problem solving.
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These three capabilities make the robot artificially intelligent.
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In short, AI provides machines with the capability to adapt, reason, and provide solutions.
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Well, now that we know what AI is, let's have a look at the two broad categories an AI is classified into.
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Weak AI, also called narrow AI, focuses solely on one task.
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For example, AlphaGo is a maestro of the game
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Go, but you can't expect it to be even remotely good at chess.
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This makes AlphaGo a weak AI.
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You might say Alexa is definitely not a weak AI, since it can perform multiple tasks.
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Well, that's not really true.
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When you ask Alexa to play Despacito, it picks up the key words play and despacito, and runs a program it is trained to.
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Alexa cannot respond to a question it isn't trained to answer.
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For instance, try asking Alexa the status of traffic from work to home.
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Alexa cannot provide you this information, as she is not trained to.
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And that brings us to our second category of AI, Strong AI.
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Now, this is much like the robots that only exist in fiction as of now.
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Ultron from Avengers is an ideal example of a strong AI.
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That's because it's self -aware and eventually even develops emotions.
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This makes the AI's response unpredictable.
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You must be wondering, well, how is artificial intelligence different from machine learning and deep learning?
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We saw what AI is.
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Machine learning is a technique to achieve AI and deep learning, in turn, is a subset of machine learning.
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Machine learning provides a machine with the capability to learn from data and experience through algorithms.
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Deep learning does this learning through ways inspired by the human brain.
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This means through deep learning, data and patterns can be better perceived.
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Ray Kurzweil, a well -known futurist, predicts that by the year 2045, we would have robots as smart as humans.
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This is called the point of singularity.
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Well, that's not all.
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In fact, Elon Musk predicts that the human mind and body will be enhanced by AI implants, which would make us partly cyborgs.
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So, here's a question for you.
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Which of the below AI projects don't exist yet?
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A. An AI robot with citizenship.
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B. A robot with a muscular skeletal system.
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C. AI that can read its owner's emotions.
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D. AI that develops emotions over time
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Give it a thought and leave your answers in the comment section below.
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Three lucky winners will receive Amazon gift vouchers.
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Since the human brain is still a mystery, it's no surprise that AI too has a lot of unventured domains.
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For now, AI is built to work with humans and make our tasks easier.
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However, with the maturation of technology, we can only wait and watch what the future of AI holds for us.
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Well, that is artificial intelligence for you in short.
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Do not forget to leave your answer to the quiz in the comment section below.
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Also… Like, share and subscribe to our channel if you enjoyed this video.
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Stay tuned and keep learning!

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इस पाठ की शब्दावली और बोलने के सुझाव

सबसे ज़्यादा दोहराए गए शब्द ये हैं: robot, learning, machine, intelligence, Alexa। इस वीडियो में शैडोइंग के लिए 63 वाक्य और 761 शब्द हैं। बोला गया हिस्सा 5:11 लंबा है। वक्ता लगभग 147 शब्द प्रति मिनट की स्थिर गति से बोलता है, जो शैडोइंग के लिए आरामदायक है। केवल 77% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्दउच्चारणअर्थ
robot संज्ञा/ˈɹoʊ.bɑt/रोबोट, यंत्रमानव
artificial विशेषण/ˌɑː.tɪˈfɪʃ.əl/कृत्रिम
emotion संज्ञा/ɪˈməʊ.ʃən/भावना, जज़्बा
capability संज्ञा/ˌkeɪ.pəˈbɪl.ɪ.ti/क्षमता
algorithm संज्ञा/ˈælɡəɹɪðm̩/अल्गोरिद्म
technique संज्ञा/tɛkˈniːk/तकनीक
mystery संज्ञा/ˈmɪs.t(ə.)ɹi/रहस्य, राज़
fiction संज्ञा/ˈfɪkʃən/काल्पनिक
ideal विशेषण/aɪˈdi(ə)l/आदर्श, श्रेष्ठ
solve क्रिया/sɒlv/सुलझाना, हल करना
aspect संज्ञा/ˈæspɛkt/पक्ष
narrow विशेषण/ˈnæɹəʊ/तंग
landscape संज्ञा/ˈlan(d)skeɪp/भूदृश्य, परिदृश्य
intelligent विशेषण/ɪnˈtɛlɪd͡ʒənt/बुद्धिमान, चतुर
tune संज्ञा/tjuːn/धुन

वीडियो में आने वाली फ़्रेज़ल वर्ब

शब्दअर्थ
pick up क्रियाउठाना

ध्यान देने योग्य उच्चारण

वक्ता 4 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे can't, doesn't, don't। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

  • “th” की ध्वनियाँ: algorithm /ˈælɡəɹɪðm̩/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
  • “sh” और “zh” की ध्वनियाँ: artificial /ˌɑː.tɪˈfɪʃ.əl/, emotion /ɪˈməʊ.ʃən/, fiction /ˈfɪkʃən/, citizenship /ˈsɪtɪzənʃɪp/, variation /ˌvɛəɹiˈeɪʃn̩/
  • लंबे शब्द — बलाघात सही रखें: artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, citizenship /ˈsɪtɪzənʃɪp/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

  • /v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: solve /sɒlv/, swim /swɪm/, surveillance /sɚˈveɪ.ləns/, variation /ˌvɛəɹiˈeɪʃn̩/, quiz /kwɪz/
  • /z/ — इसे “ज” (/dʒ/) न बनाएँ: citizenship /ˈsɪtɪzənʃɪp/, organize /ˈɔɹɡənaɪz/, quiz /kwɪz/, customize /ˈkʌs.tə.maɪ̯z/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/
  • शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: swim /swɪm/, smartphone /ˈsmɑɹtfoʊn/, spite /spaɪt/, stroll /stɹoʊl/, skeletal /ˈskɛl.ə.təl/

इस वीडियो से अभ्यास कैसे करें

  1. पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
  2. सामान्य गति पर एक-एक वाक्य की शैडोइंग करें और हर वाक्य तब तक दोहराएँ जब तक आपकी लय वक्ता से न मिल जाए।
  3. अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर robot, artificial, emotion जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →