शैडोइंग अभ्यास: Nvidia's New Laptops - RTX Spark - वीडियो के साथ अंग्रेजी बोलना सीखें
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76 वाक्य
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So NVIDIA just launched a new laptop chip.
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It's called the RTX Spark.
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It's a 20 -core ARM -based CPU, and it packs an RTX 5070 GPU that has the same core count as the desktop version.
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It goes up to 128 gigs of unified RAM, and it's being used in very thin laptops.
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As thin as 14 millimeters, and it still has all -day battery life, and it runs the full NVIDIA stack.
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So CUDA, DLSS, ray tracing, all of it.
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Now, I've never had any doubt that if NVIDIA wanted to make a laptop they would make a good one, one that's energy efficient, powerful.
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There was never any worry.
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But what I am worried about is what they want you to use this chip for.
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Because if you watch their presentation, the first third of it, or maybe even more, they're talking about agents.
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So we got to talk about this because this is the main pitch.
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If you know what an LLM is, like a large language model.
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So let's start there.
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Large language models.
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So ChatGPT, Gemini, Claude, things like that.
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They are...
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like tools that you can type to and they'll type back
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or respond back right agents are the next step of
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that instead of just responding back to you they can actually do things for you
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so as an example you would ask it to like draw an owl
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and then make it fly while changing the camera angle
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and the agent will go and perform the steps required across your actual apps checking its
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intern that lives inside your computer that can do stuff for you.
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Now, keep in mind there are pre -existing tools today that can accomplish stuff like this, but they definitely require like a little bit of knowledge
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and they're tools that you have to kind of piece together that a typical person wouldn't want to do.
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Now, NVIDIA's bet, along with Microsoft, is that this will be the new era of PC and they're calling it exactly that.
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The idea is that these agents would run locally on your device because to have a genuinely capable agent,
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you would need a fairly large model that's sitting inside fairly fast RAM.
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And like a regular laptop can't do that.
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Not even a gaming laptop, because there's not enough of that super fast RAM in gaming laptops.
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So a MacBook Pro could technically do because you can get up to 128 gigs of unified RAM there.
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Same with an AMD Strix Halo laptop that has a lot of unified RAM memory, but neither of those two devices have access to the CUDA software stack.
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every AI tool and framework and model is built on and optimized for first.
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So the Arctic Spark with its 128 gigs of unified memory has access to this
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CUDA stack it's great it's like purpose built for this vision however this is where things get a little shaky
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because if you think about it this is not nvidia's mountain to climb it's actually microsoft
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because they're the company that has to build
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and implement the part of windows
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that the agents would live in like this is baked into
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the operating system would run from your taskbar it needs access
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to your files your apps it has to have a lot of access to your system and if you
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from the system because they find it too obtrusive.
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Can you imagine like co -pilot extreme?
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This thing would need more control, more access, and just more, it's more capable, right?
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So it has to have the ability to do all of these things.
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And I don't know if we're in the position where we actually entrust a company like Microsoft
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to have that kind of control, but it would need it to pull this off.
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Now, if they nail it, it would be incredible, genuinely incredible, because now your computer could do the multi -step tasks that we find boring and time consuming.
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But at the same time, I also can't imagine Microsoft making a tool that's powerful like that, but wouldn't be obtrusive somehow, but we'll see.
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The second thing that the Artex Spark chip is supposed to be good at is with creative work.
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So it is a 5070 with a lot of RAM, and Adobe apparently has new architecture for Premiere and Photoshop, engineered specifically around this chip, which is kind of cool, but we'll have to see what that's all about.
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Now the third thing is gaming, and to be clear, it is the third thing, because if you look at the list of laptops, these are not gaming laptops.
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You got like Lenovo laptops that can also game,
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but NVIDIA is throwing some pretty interesting numbers out there.
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We will have to test all this stuff down the line.
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It might even be great for gaming.
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Now, in terms of where I stand on the whole RTX part, I think the hardware is very interesting.
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I think that pricing, if you actually are interested in this thing, the pricing is not revealed yet,
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but I imagine we should brace for it to be quite expensive because just the market is that way right now.
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The other thing, Like forget about the technical element of it.
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That's already extremely difficult. But even
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if they could pull it off the kind of social acceptance of having a tool like this baked into your operating system, that's a huge ask.
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I think in this day and age, if that thing was available today, I don't know if I would want that on my system.
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Like it's neat.
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But when I've kind of piece together myself and I know exactly where everything is, like that feels a little bit more comfortable.
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But if this is built into the operating system and it can do stuff, it's a little bit more comfortable
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when you're not even there i don't know it's it is strange um
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if there was one company though if there was one company
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that has the kind of clout and reputation
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and just size to pull it off as a partner it
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would be nvidia they're super rich they have a ton of
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connections with multiple industries ai gaming like productivity workflows like
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so much stuff stems around nvidia
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so maybe they could pull it off who knows what do you think is this something
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that you would if you think about given, is it something that you would actually use and /or want on your system?
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Okay, hope you guys enjoyed this video.
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इस पाठ के बारे में
इस पाठ में, आप NVIDIA के नए लैपटॉप चिप RTX Spark के बारे में जानकारी प्राप्त करेंगे। पाठ सामग्री के माध्यम से, आप तकनीकी शब्दावली, विशेषण और वाक्य संरचना का अभ्यास करेंगे। यह वीडियो एक अद्वितीय अवसर है, जहां आप तकनीकी भाषा में अंग्रेजी बोलने का अभ्यास कर सकते हैं। इस सामग्री को समझने के लिए, आप शैडोइंग तकनीक का उपयोग कर सकते हैं, जिससे आप अपने अंग्रेजी उच्चारण में सुधार कर सकते हैं।
मुख्य शब्दावली एवं वाक्यांश
- RTX Spark
- कच्चा कार्य (Core Count)
- एकीकृत RAM (Unified RAM)
- एजेंट (Agent)
- व्यापक भाषा मॉडल (Large Language Model)
- रे ट्रेसिंग (Ray Tracing)
- सामर्थ्य (Capability)
- कार्यकारी प्रणाली (Operating System)
व्यवहारिक सुझाव
जब आप इस वीडियो का उपयोग करते हैं, तो अंग्रेजी शैडोइंग तकनीक का अनुसरण करें। वीडियो की गति को सुनें और कोशिश करें कि आप वाक्यांशों को उसी गति से बोलें। यदि वीडियो बहुत तेज है, तो उसे धीमा करके सुनें। इसके लिए यूट्यूब पर सेटिंग्स में जाकर स्पीड विकल्प का चयन करें। वाक्यांशों के उच्चारण पर ध्यान दें और अंग्रेजी बोलने का अभ्यास करते समय मुंह से बोलें। इस प्रक्रिया से आप स्वाभाविक रूप से अंग्रेजी उच्चारण में सुधार कर सकेंगे।
आपको यह सुनिश्चित करना चाहिए कि आप तकनीकी शब्दों और वाक्यांशों को सही तरीके से बोलें। उच्चारण सही करने के लिए, आप shadowspeaks का उपयोग भी कर सकते हैं। जैसे-जैसे आप आगे बढ़ते हैं, अपने बोलने के कौशल में सुधार करते जाएंगे। याद रखें, अभ्यास करने से ही दक्षता आती है।
इस वीडियो का व्याकरण
वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:
| संरचना | वीडियो में |
|---|---|
| शर्त वाले वाक्य if + उपवाक्य, will/would + क्रिया — शर्त और उसका नतीजा | if they nail it, it would be |
| Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है | being used · is built · is baked |
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।