쉐도잉 연습: How does AI actually work? - 영상으로 영어 말하기 배우기

I'm confident that this may be the most important video you'll see in a while.

Let's talk about how AI actually works because it will shape how you use it, how you think about it, and make informed decisions about it.

I'm a Stanford -trained computer scientist for AI who's been building AI systems for over a decade.

I'm teaming up with Anthropic, the team behind Claude, for a series, and today we're looking under the hood.

AI agents are made up of two parts, the large language model, LLM, and the hardest this.

In this video, we discussed the word generating LLMs, and today we'll discuss the agent harness.

So we have the word generator, the core brain, i .e whatever version of sonnet, opus, fable you select when using Claude.

And then we have the harness, which is all of the code that enables that word generator to take actions.

So remember from the last video that everything the model knows about you is just added info into its prompt.

The harness is what manages

that memory your history your files your context it also gives the model access to external tools like gmail

or canva and handles sub -agent orchestration

which is delegating tasks to other agent instances sometimes in parallel

and here's how the two pieces work together modern llms are trained to reason to think through steps

and decide on how to act when the model wants to use a tool, it outputs a tool call, essentially structured text saying run this,

and then the harness executes it.

Then the output of the actions gets placed into the model's prompt behind the scenes, and the model then reflects on how the tool call went, and the loop continues.

It thinks again on what to do, maybe calls a tool, and it goes on and on.

Note that LLMs have a limit to their working memory called the context window.

Your chat history, your prompt, files, all those tool outputs all go in to that context window

and eventually it fills up and the harness detects this and intelligently performs context compression.

So those are the two pieces of chatbot AI agents.

LLMs are the brain generating text and the harness is like the body.

It gives them the ability to actually take actions and make changes.

I hope this is helpful.

Please leave your questions in the comments and follow for more AI explainers.

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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.

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쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법