शैडोइंग अभ्यास: Kiến Trúc Hệ Thống: Cứu Cánh Cho Lập Trình Kỷ Nguyên AI - YouTube के साथ अंग्रेजी बोलना सीखें
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au mọi người bắt đầu luôn nhé trong thế suis lập
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trình hiện nay sự bùng lỗ của trí tệ nhân tạo
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đang tạo ra một sự phân hoá thật sự sâu sắc
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chúng ta không còn ở cái thời chỉ ngồi cầm cụi
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tự tay gỏ từng dòng cốt nữa mà bài toán bây
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giờ là cách chúng ta định hướng ai như thế nào
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và ngay lúc này đây có 1 trinh giới cực kỳ
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rõ ràng một bên là ra lệnh cho ai viết code
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dự trên cảm tính để thấy kết quả ngay lập tức và bên kia là việc ngồi xuống xây
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kiến trúc hệ thống bài bản từ đầu Chi phí tìm
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ẩn của việc lập trình bằng AI chính là sự đối đầu gắt gao giữa Vibe và kiến trúc
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Hôm nay trong bài phân tích này chúng ta sẽ cùng
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bóc tách xem điều gì thật sự đang diễn ra đằng
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sau những dòng code tự động được tạo ra chỉ trong
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chớp mắt nhé Trong kỷ nguyên AI này có 2 trường
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phái hoàn toàn đối lập nhau một bên chúng ta gọi
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là Vibe Coder Những người code hoàn toàn theo cảm tính
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Mục tiêu của họ cực kỳ đơn giản tạo ra code càng nhanh càng tốt To be a feel open,
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he gives AI to to,
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여 empleo app to, isn't worth respuesta.
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That is cannot performc from this assumption though.
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ahu magic.
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By the way, it's a way to construct a cognitive system that is connected.
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And by doing, do bar cue,
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he can restrict and track its Andguedy training training.
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Speaking there's a razor, they used to do large,
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and spread to a Character Phone reveal.
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To with saç Vane is not perfectly profitable.
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But a typical Stizo.
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And it is really important to them because
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TH exp jump in a lot of conversations in AI isn't a hit online
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yeah I'm not an idea so you all tend to smoke But the practical fact is,
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everything should 지en youсяp into one Itodes élide,
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one armashafts of formula meat- merci,
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D ovens to an instant section,
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so you want to hold roses things a little less tenth.
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However this effort isnate to not only fallen giov geri than GPU
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and RAM
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but it makes it heavy our makes the participant ch hike …
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즉их phìn to này không chỉ đốt cháy một lượng khổng
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lồ tài nguyên như CPU hay Ram mà chỉ nhất là
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nó làm loạn đi khả năng suy luận Lo uit của chính mô hình ai
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olduğ berok
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chúng ta cứ nở là mình đang đi rất nhanh Nhưng
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thực chất là đang âm thầm cổng trên lưng một khoản nợ kỹ thuật khổng lồ
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để thấy rõ Thảm họa của việc các đoạn code dính
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chặt vào nhau thử tưởng tượng một tình huống thực tế thế này
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bạn phải chuyển đổi cơ sở dữ liệu từ SQL light sang PostgreSQL
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but
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if there were code Unsolved since online servers could not do
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a thing to try Russian услign theiment of their compliance looks like over jogos has lease
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got more information soon but not though it is still militaryigkeiten to see the press I think the press levers
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You can getushed a physical device just to answer their Impulse them
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and be honest and pressure Website people notion That's what the could not happen if US sort of thing?
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There's no tie to the
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łam là rất dễ bị lạc lối nếu chúng ta quăng
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cho nó một yêu cầu quá rộng để khai mở được
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những kiến thức sâu sắc nhất của ai nó cần những
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danh giới cực kỳ hẹp và cụ thể đừng bao giờ
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ạ ai e xây cho tôi cả cái hệ thống này
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thay vào đó hãy chia nhỏ hệ thống ra bằng các
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Interface và yêu cầu chỉ viết đoạn kết nối PostgreSQL cho
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đúng khi interface này thôi và làm sao cho Tối Yêu
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Nhất ngay lập tức ai sẽ bùng hết những kệ thuật
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tinh hoa nhất của nó ra ở trong một phận vi AI bỗng nhưng trở thành một người thầy xuất sắc,
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chỉ cho chúng ta cách tối ưu,
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cách dùng thư viện chuẩn xác và xử lý những lỗi dâu ria ở mức độ chuyên gia thực thủ.
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Nghe thì hay đấy, nhưng áp dụng vào thực tế thế nào?
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Chúng ta cần một quy trình 3 bước cực kỳ thông minh và kỷ luật.
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Bước 1.
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Thảo luận và phản biện thiết kế.
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Hãy dùng chính AI làm người trò chuyện để lên phương án,
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phơi bày hết các rủi ro tiềm ẩn trước khi gõ bất kỳ dòng cốt nào.
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Bước 2.
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Chia để trị and complete everything ready to connect the one enough then finally,
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the third, the AI is to be able to do the mạng nguồn.
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Just when the machine has been,
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the AI is to be able to put into the code.
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The strategy is to be able to create a code,
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and we will not ever be able to do the code for a mớ bong bong.
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Of course, we have to say,
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that Vibe Coding is not a thing that is not a value.
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It is a very beautiful thing if you are doing proof of concept,
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It's just that you can experiment the idea.
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If you want to know something crazy about 2 hours
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and want to know it's going to be a bit better than a few hours,
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the vibe coding is a good thing.
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But this is a crazy thing.
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It's extremely dangerous if you take it to a product for a practical product.
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It's not ever been able to make a code to make a production product.
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It's not possible to be on a product.
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There's a very interesting thing.
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When we are looking at the value of AI,
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you know how to do a token that is not a crazy thing.
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It is often a counter-coder can only be able to just to go away, and go away.
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They go away and go away and go away and go away,
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because the logic of the beginning has been already been wrong.
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In that case, a designer of the machine has been able to do a token that is not a token,
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but each code is not a token.
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and now there is a lot of knowledge in the industry.
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Today, in the industry, there is a lot of knowledge that is that if you see a lot of tokens,
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and you can see that with AI,
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then you think that people are doing very well.
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But in reality, the tokens usually is the sound of a device that is being a cloud of a system.
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How many tokens have been broken?
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Mọi người, this is the real real estate that companies have to pay with the money.
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A person using VI code can use a million tokens for a vòng lặp of a vùng to be a vô-lộn.
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The problem is...
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He said that he was looking at the AI and he was trying to build code every day,
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that's an issue!
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That's an out-right.
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We have a real truth.
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It's not a năng suất,
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it's a waste of money and money for money and money.
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One the case Jesse has to take a look at the value of the information,
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is that you have learned from any legislation.
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When's the question is probably not covering these technologies in the bay,
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because your computer is not clear from the head.
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At the time, the IMDition for students cantorgin' corner of their kids play on top them,
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They may not be able to Kṛṣṇahe 98 or less avait simulator,
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but they decided to reduce theironey breakfast They must summon and unmute喂 it if this is not an option.
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And the important thing is that we must force your fonctionitudes not to abuse with water out your spots.
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The product allows you to unever experience and hear some misses.
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No matter has the cremated window,
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his stencils, his head in his mask and concerns were almost impossible to open.
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There is a construction unit thatj découvrir too canig sery on channel as now,
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the PER-ценon, fully no longerниеYUM이었 for greenhouse gases .
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Ourgrandics and more people used to come to study for AI.
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Not on 있다는 pay, Spielberg והer and cuts porta-to-Brien arms,
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different hunts all still v damn well,
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GEU zoued money,
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because of summarize,
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not only for 一點.
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Any team of you are dressedensed to privacy,
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or tied Kahputa fuerte?
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I hope this next time saint has done some fun to please improve advantage of using AI.
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Thanks for the community for joining this video.
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And again in the next Sacramento Thank you.
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इस पाठ के बारे में
इस पाठ में, आप कृतिम बुद्धिमत्ता (AI) के युग में कार्यक्रम बनाने के महत्व को समझेंगे। इसमें हम देखेंगे कि कैसे योजना के अनुसार प्रणाली का निर्माण किया जाता है और कैसे "Vibe Coder" की प्रवृत्ति से बचा जा सकता है। यहाँ, आप यह भी सीखेंगे कि बिना योजना के कोडिंग करने से किस प्रकार की तकनीकी समस्याएँ उत्पन्न हो सकती हैं। यह सब जानने के बाद, आप बेहतर ढंग से अंग्रेजी बोलने का अभ्यास कर सकेंगे और AI आधारित तकनीकों को समझ पाएंगे।
मुख्य शब्दावली और वाक्यांश
- कृतिम बुद्धिमत्ता (Artificial Intelligence)
- Vibe Coder (भावना के अनुसार कोडिंग करने वाला)
- संरचना (Architecture)
- कोड (Code)
- तकनीकी उधारी (Technical Debt)
- डेटाबेस परिवर्तन (Database Migration)
- CPU और RAM (Computer resources)
- प्रदर्शन (Performance)
अभ्यास टिप्स
इस वीडियो में तेज़ी और भावनात्मक स्वर में बातचीत होती है। इसलिए, जब आप अंग्रेजी शैडोइंग का अभ्यास करें, तो शैडो स्पीक तकनीक का उपयोग करें। इस तकनीक में, आप वीडियो सुनते हैं और तुरंत उसके बाद उसे दोहराने की कोशिश करते हैं। इससे न केवल आपकी सुनने की क्षमता में सुधार होगा, बल्कि आपके उच्चारण और भाषा की प्रवाहिता में भी वृद्धि होगी। आप वीडियो को कुछ सेकंड में रोक कर इसकी आवाज को दोबारा सुन सकते हैं। इससे आपको अपने उच्चारण को सही करने का मौका मिलेगा। नियमित रूप से इस शैडोइंग साइट पर अभ्यास करने से आपकी अंग्रेजी बोलने की कौशल में निखार आएगा। समय समय पर अपनी प्रगति पर ध्यान दें और जहां जरूरत हो, वहाँ सुधार करें।
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।