跟讀練習: AI Agent چیست؟ راهنمای کامل ایجنتهای هوش مصنوعی از صفر - 通過影片學習英語口語
選擇練習模式
每種模式都會開啟全屏練習室。
526 句
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I am just a few agents who don't want to do it and do it.
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I will show you how agent works, which is a job, which is a job,
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which is a job, which is a job
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and how to do it agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent
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agent agent agent agent agent agent agent agent agent agent agent agent agent agent agent agent agent agent agent
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The world of a agent will be able to give you a way to the world.
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This is a way to look at 10 times.
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It's a way to get rid of them.
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And in every way, you can get rid of them.
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After video, all the agents will be able to get rid of them.
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You can see the agent will be able to get rid of them.
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So, let's go ahead and get rid of them.
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I'm going to get rid of them.
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You can tell me that you can tell me about the computer.
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If it's a computer, it's a computer.
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If it's a computer, it's a computer.
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It's a computer.
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The computer is a computer.
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When you tell me about the computer, 1000 examples show you.
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Your own computer is a computer.
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It's a computer.
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Like a computer, it's a computer.
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It's a computer.
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It's a computer.
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It's a computer.
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It's a computer and the other way, it will be a good job.
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We have three different parts of the system.
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First, the system is a law enforcement.
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The law enforcement has been outside the law.
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After the law enforcement, the machine has been out of the data.
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But every model has been just one job.
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After that, in 2017, Google has a memory transformer.
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This is the same way that it has been in GPT and Cloud.
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The difference between the models is that
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Model -a -y -q -d -m -e -y,
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This is the most important part of this video.
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You can't wait to write it until you leave it.
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You can't answer it and you can't answer it.
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And you can't wait to get it.
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It's just a way to get it.
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Without a cadre, you can't do it.
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You can't file, email, check it out.
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You can't do it.
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Agent, you have to do it and do it.
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You can't do it.
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You can't do it
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and on a single step of the step of the step
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of the step of the step of the step of the
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step of the step of the step of the step of
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the step of the step of the step of the step
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of the step of the step of the step of the
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step of the step of the step of the step of
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the step of the step of the step of the step
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of the step of the step of the step of the
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step of the step of the step of the step of
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the step of the step of the step of the step
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of the step of the step of the step of the
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step of the step of the step of the step of
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the step of the step of the step of the step
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of the step of the step of the step of the
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step of the step of the step of the step of
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the step of the step of the step of the step
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of the step of the step of the step of the
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step of the step of the step of the step of
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the step of the step of the step of the step
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of the step of the step of the step of the step of the three things that we have to give.
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In the way, it's a way to get into it.
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It's a way to get into it.
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And it's a way to get into it.
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This is a way to get into it.
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It's a way to get into it.
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It's a way to get into it.
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It's a way to get into it.
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Only one of them can do it.
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We have to get into it.
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I have to get into it.
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There's a way to get into it.
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workflow workflow means that you can use the first step
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model to you work but it does not mean to be done by the way
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because you can use the work flow and the most important work flow is done
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better because it is a simple and easy way and the way you can use the work flow workflow
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agent when you get to the steps you don't know and you need to get a process
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I have to do a video I have to do a video I have to do a workflow
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and do a chat and do a workflow and do a chat I have to do a
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video I have to video I have to do a video .
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It's 4 -4.
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It's a way to do it.
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It's a way to do it.
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It's a way to do it.
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It's a way to do it.
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For example, you can do it.
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You can do it.
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You can do it.
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You can do it.
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You can do it.
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You can do it.
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You can do it.
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I'll see you next time.
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I would like to like this video,
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like this video, subscribe and subscribe to my channel and make sure you can do it.
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Because I can't do it.
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It can be a very similar experience in my life.
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Absor and Function Calling Agent can only be done with a single job.
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and then the name of the app is the app.
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Model when you have a number of them, the model is a number of them, the model is a number of them,
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which is a number of them.
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The model is called the model.
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The model is a number of them, which is a number of them, which is a number of them,
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and the model is a number of them.
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Let's go ahead and get them to the model.
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You can't ask them, what is the model?
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Model is a number of them, which is the model.
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This model is a number of them.
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The model is a number of them, which is the model.
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The program you can use the service of the data.
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Data will be able to get the data and the data will be able to use it.
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You can use it.
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3 -3 and 3 -3.
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But you can only one answer.
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One important question is that you can't really apply.
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The model is the model.
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The model is the model.
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The model is the model.
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The model is the model.
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and the model will be more effective.
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The model will be more effective.
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The model will be more effective.
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This is a project that you can do with the project.
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This is a project that you can do with the project.
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So, the project will be more effective.
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The project will be more effective.
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The project will be more effective.
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The project will be more effective.
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The project will be more effective.
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The project will be more effective and now it's now
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This is the chat that you can see before which is
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because it's a way that every time the previous one is a
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but one thing is is a way to the context window
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is there are two things
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First of all, you need to get a thing to do.
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Two, you need to get a thing to do.
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You need to get a thing to do.
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Because every time you get a thing to do, you need to get a thing to do.
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When you do a chat, you don't have to do it.
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You need to do it.
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You need to do it.
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The thing you can do to model is The thing
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you can do to model is The thing you can do to token
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But you can do to make a way of the agent
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Every door of the way of the agent
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The way of the agent is to give you 10 to 10, 10 times more
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For the agent to get rid of them
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This is the way of the agent
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This is the way of the agent
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One is the 5th century you can see just some other points
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and then you can see it very quickly
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and this is a way of making a model
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when the model is a model of the model is a model and it will be a model
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but it will be a model but it will be a model ...
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I'll add a bit of a balance of the balance of
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the balance of the balance of the balance of the balance
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of the balance of the balance of the balance of the
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balance of the balance of the balance of the balance of
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the balance of the balance of the balance of the balance
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of the balance of the balance of the balance of the
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balance of the balance of the balance of the balance of
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the balance of the balance of the balance of the balance
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of the balance of the balance of the balance of the
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balance of the balance of the balance of the balance of
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the balance of the balance of the balance of the balance
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of the balance of the balance of the balance of the
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balance of the balance of the balance of the balance of
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the balance of the balance of the balance of the balance
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of the balance of the balance of the balance of the
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balance of the balance of the balance of the balance of
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the balance of the balance of the balance of the balance
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of the balance of the balance of the balance of the
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balance of the balance of the balance of the balance of
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the balance of the balance of the balance of the balance of the and the first one must be beyond the screen.
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And again, when 1000 ticks, the screen is written by the screen.
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For this question, we will see the embedding vector database.
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The results are in the same period.
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First, embedding.
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I'll tell you,
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you can't imagine.
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Now I'll give you a computer.
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Computer doesn't understand, but it's not a problem.
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P .S.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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M .O.
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I mean first one, then after the answer, then after the answer, then after the answer,
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the question is that the question is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is
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that the answer is that the answer is that the answer is and when you get a model, you can do it again.
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You can do it again.
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You can do it.
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I'm going to give you a quick look.
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The effect of the product is a model.
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It's a way to make it.
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The name of this is Chunking.
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The product is very powerful.
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The product is very powerful.
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The product is very powerful and use this to help the problem.
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It is that the key has been one way to do it.
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So after all the key, it is a character of the key after the key.
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If it is a question of the key, it will be a way to get it.
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And it will be a way to get it.
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It will be a way to get it.
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It will be a way to get it.
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Because this model is a way to get it.
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The key is that the key is the key something that is good.
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If the ticket is correct, the model will be automatically correct.
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7 MCP 2 -SK have been talking about the app.
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This app is only one app.
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It is only one app.
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If you want to make it
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Agent -EVAC, and then again, we need to use this.
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MCP is this problem.
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The name is Model Context Protocol.
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It is a standard for the ability to use the model to use the model.
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MCP is a port of USP of the world.
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Before, it was a cable that had to be.
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However, it was standard for all of them to use the model.
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After all the agent can understand the protocol, can be able to get it.
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The reason why is that every server you can use the system to make it.
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Server of the national security system will not be able to use it.
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I will show you a video that I will show you a little bit.
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You can see the link below the 6th link.
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The memory.
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We will get the rest of the questions.
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We will get the 2nd page.
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We will be able to get these things to do
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and get them to be able to get them to get
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them to get them to get them to get them to
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get them to get them to get them to get them
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to get them to get them to get them to get
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them to get them to get them to get them to
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get them to get them to get them to get them
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to get them to get them to get them to get
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them to get them to get them to get them to
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get them to get them to get them to get them
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to get them to get them to get them to get
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them to get them to get them to get them to
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get them to get them to get them to get them
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to get them to get them to get them to get
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them to get them to get them to get them to
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get them to get them to get them to get them
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to get them to get them to get them to get
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them to get them to get them to get them to
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get them to get them to get them to get them
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to get them to get them to get them to get them to get them
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and then the list of the steps will be made
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and then the steps will be made and then the steps will be made
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For the steps of the steps, the steps will be made and the steps will be made
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If you have a step to the steps, you can see the steps that you can see the steps
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The steps will be made and the steps will be made and the steps will be made and the other way,
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the first one is the real thing.
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The first one is the first list of the file file.
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Then the first one is the tick and the second one is the tick.
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The third one is the orchestrator and worker.
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The agent is the agent that has been working with several agents.
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The other one is the agent that has been working with them.
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The fourth one is the agent's work
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and agent to create a new agent to create a new agent
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and then the new agent is to create a new agent is to create a new agent
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and then the agent is to create a new agent
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and then the agent is to create a new agent
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and then the agent is to create a new agent
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If you have an agent with 20 adsor and 10 -10 pages, then you can use one thing to do.
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The result is agent that you can't do anything to do.
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The result is that agent is a few agents that have been done.
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One is only one who can do it, one who can do it, one who can do it.
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Every single one of those adsor and other things, they can do it.
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Let's put a example on that you can do better.
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If you want to make a system that you can do it, you can do it.
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Agent 1.
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Agent 2.
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Agent 2.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent 3.
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Agent The reason why is this is that the house is a bit different and the whole thing is a bit different.
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With the one who is working, you can actually work with a few agents.
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Framework is a bit different from the framework.
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Framework is a bit different from agent.
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It is a way to make a way to make a way to make a way to make it easier.
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It is a good idea that you can use framework.
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It is a good idea that you can use framework.
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It is a good idea that you can use framework.
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It is a good idea that you can use framework.
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which is a good idea that you can use.
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It is a good idea that you can use framework which is a good idea.
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It is a good idea that you can use framework
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which is a good idea that you can use framework and you can use it to use it.
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It is a good idea that you can use it
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It's time to be a agent with a few agents.
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Second, the SDK of the company.
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Like OpenAI, Google and Anthropic.
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They have a few of them.
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They have a few of them.
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They have a few of them.
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They have a few of them.
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But they can be able to get them.
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The choice is this.
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If you want to make a model, you can't do it.
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If you want to make a model, if you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make a model, you can't do it.
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If you want to make
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He has now a place where he works and works and works.
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There are several people who have been in front of this journey that are the agents that have been made.
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In the past, the most important place is to answer the agents.
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For example, an agent email, agent who is a result of the and the email will send it to you.
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At the side of their agent, they will be able to send it to you.
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At the side of their agent, they will be able to send it to you.
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In this video, the agent will be able to send it to you.
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The agent will be able to send it to you, and if it is a mistake, it will be able to send it to you.
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We will be able to get the first video to the channel.
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In the market, the agent will be able to give the video to the channel.
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This is the most important thing.
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It's a thing that's all.
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It's a thing that's a thing.
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It's a thing that's a thing that's a thing.
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We have to get started.
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but it is not a way to do it.
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And one thing that I have to do is to do it.
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And one thing that I have to do is to do it.
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Some of the things that I have to do is to do it.
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But the security is one thing that I have to do it.
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This is a way to do it.
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This is a way to do it.
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It's a way to do it.
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It's called Prompt Injection.
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It's a way to do it.
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It's a way to do it.
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It's a way to do it.
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It's a way to do it beifte bera.
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Fرض kene agent dare yuhye safhwe webo mikhonhe.
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Vosat aumon safhwe yuhye mtn nomarii nvwishhe shude khe humye dastoriy
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qablii ro nadeed begiru mhutwae failea ro bifrist be aen adres agent farki bane dastor to wa mtn aumsofhe gail nemie shhe.
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Aghe mhafazat nedash tebashi mmknhe waqan einkar ro beraet beraet anjame dhe.
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Aenam yuhye seneoriya خیب waqai bude.
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Khatr dvom gostarish dama manhaz.
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Behish
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and then it will be a new one
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and will be a new one and will be a new one and in the third one, the video is a new one 4.
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the way of the health care is to be able to
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do this first one is a new one before the agent
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second one is a new one before the agent before the
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agent is to be able to do this third one is a new one
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It's just a way to get into a situation.
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If you have a job, you can't be a agent voice and you can't be a type.
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4 -Rumny, a code is only within a moment of isolation.
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It's a way that you can't put your system in the moment.
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You can't put your own side to the side.
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You can't see that agent in every step what you think and what you think.
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Without this, the debugger is actually not possible.
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There are 4 times that you have to do it and how much money you can do it.
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How many percent of your work are working?
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How many steps are working?
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How many steps are working?
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How many steps are working?
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And the last thing I would like to give you and I would like to give you a agent to your test.
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You can use a test or you can use 20 -20 to make a test with the answer that you know.
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Every time you have a prompt or a result you have to request do you again?
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without this, you can see it is a problem
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the way we have to do it let's go ahead
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and do it we have to go ahead we have to go ahead
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we have to go ahead we have to go ahead
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we have to go ahead we have to go ahead we have to go ahead we have to go ahead
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and we have to go ahead and we have to go ahead
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and we have to go ahead and we have to go ahead and we will see how this is going to be.
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Finally, in the entire way, we will see a guardrail that will be able to get rid of the car.
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Now, you have to go through three steps.
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First, the first step is to go through the next step.
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The first step is to go through the entire list.
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The second step is to go through the description.
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The second step is to go through the first agent.
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One step is to go through the next step and then you can also create a new version of the app.
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Do you have a new version of the app?
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Do you have a new version of the app?
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Do you have a new version of the app?
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Do you have a new version of the app?
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This was the whole thing that one agent should be able to do.
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Very happy to have you in this video.
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In the video, we will have to make a video about the agent.
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For the agent, we will need to make a video about the agent.
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For the agent, we will need to make a video about the agent.
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We will need to make a video about the agent.
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If you want to make a video about the agent,
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we will need to make a video about the agent.
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We will need to make a video about the agent.
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We will need to make a video about the agent.
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I can't believe that you can do this video and you can do it.
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I'll see you in the next video.
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I'll see you in the next video.
FOR YOU
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October 13, 2026
Daily ConversationWorking Adults
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本課的詞彙與口語要點
這節口語課以影片“AI Agent چیست؟ راهنمای کامل ایجنتهای هوش مصنوعی از صفر”為素材。 影片中反覆出現的詞有：agent, step, balance, model, answer。 這段影片共有 526 個句子、4510 個單詞可供跟讀。 講話部分時長為 25:19。 說話人語速自然，每分鐘約 178 個詞，接近日常對話。 91% 的單詞屬於英語最常用的 3,000 詞，詞彙容易理解。
影片中的重點詞彙
影片中 15 個值得學習的單詞，附發音和釋義：
| 單詞 | 發音 | 釋義 |
|---|---|---|
| framework 名詞 | /ˈfɹeɪm.wɜːk/ | 骨架, 框架 |
| tick 名詞 | /tɪk/ | 蜱 |
| server 名詞 | /ˈsɝvɚ/ | 伺服器 /伺服器, 伺服器 |
| protocol 名詞 | /ˈpɹoʊtəˌkɑl/ | 議定書 /議定書 |
| subscribe 動詞 | /səbˈskɹaɪb/ | 簽署 /簽署 |
| bone 名詞 | /boʊn/ | гўдў, гўдўзы |
| worker 名詞 | /ˈwɝ.kɚ/ | 工人, 工作者 |
| dare 動詞 | /dɛ(ə)ɹ/ | 敢, 膽敢 /膽敢 |
| database 名詞 | /ˈdeɪtəˌbeɪs/ | 資料庫 /資料庫 |
| keen 形容詞 | /kin/ | 熱衷於 /熱衷於, 樂意 /樂意 |
| isolation 名詞 | /ˌaɪsəˈleɪʃən/ | 隔離 /隔離, 隔斷 /隔斷 |
| vector 名詞 | /ˈvɛktɚ/ | 向量, 向量 |
| token 名詞 | /ˈtoʊkən/ | 代幣 /代幣, 籌碼 /籌碼 |
| workflow 名詞 | /ˈwɝkfloʊ/ | 工作流 |
| embed 動詞 | /ɪmˈbɛd/ | 鑲嵌, 鑲 |
影片中出現的短語動詞
| 單詞 | 發音 | 釋義 |
|---|---|---|
| go ahead 動詞 | /ˌɡoʊ əˈhɛd/ | 請便 /請便 |
| go through 動詞 | 通過 /通過 |
值得反覆跟讀的句子
影片中簡短而完整的句子，可以直接用在日常對話裡：
- I'm going to get rid of them.
- You can't answer it and you can't answer it.
- You can't ask them, what is the model?
- How many percent of your work are working?
- Do you have a new version of the app?
影片中的語法
說話人最常用的結構，並附上影片中的原話：
| 結構 | 影片中的用法 |
|---|---|
| 現在完成進行時 have/has been + -ing — 以前開始、現在仍在繼續的動作 | have been talking · has been working |
| 條件句 if + 從句，will/would + 動詞 — 條件及其結果 | if it is a mistake, it will be |
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | be done · is called · is written |
| 定語從句 who / which + 從句 — 補充說明人或事物 | works, which is · job, which is · them, which is |
需要注意的發音
說話人用了 47 次縮略和弱讀形式，例如 can't, I'll, don't。請按聽到的簡短形式來說。
中文母語者容易讀錯的音：
- /v/ — 不要讀成 /w/，上齒輕觸下唇: server /ˈsɝvɚ/, vector /ˈvɛktɚ/
- 詞尾子音 — 要讀清楚，後面不要加母音: framework /ˈfɹeɪm.wɜːk/, enforcement /ɪnˈfoɹsm(ə)nt/, tick /tɪk/, subscribe /səbˈskɹaɪb/, prompt /pɹɑmpt/
- /r/ 和 /l/ 的區別: protocol /ˈpɹoʊtəˌkɑl/, guardrail /ˈɡɑɹdˌɹeɪl/
如何用這段影片練習
- 先完整聽一遍影片，不要開口，記下不認識的單詞。
- 先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
- 錄下自己的聲音並與原聲對比，特別注意 framework, tick, server 這類單詞。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。