Shadowing Practice: How does AI actually work? - Learn English Speaking with Video
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I'm confident that this may be the most important video you'll see in a while.
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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.
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I'm a Stanford -trained computer scientist for AI who's been building AI systems for over a decade.
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I'm teaming up with Anthropic, the team behind Claude, for a series, and today we're looking under the hood.
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AI agents are made up of two parts, the large language model, LLM, and the hardest this.
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In this video, we discussed the word generating LLMs, and today we'll discuss the agent harness.
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So we have the word generator, the core brain, i .e whatever version of sonnet, opus, fable you select when using Claude.
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And then we have the harness, which is all of the code that enables that word generator to take actions.
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So remember from the last video that everything the model knows about you is just added info into its prompt.
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The harness is what manages
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that memory your history your files your context it also gives the model access to external tools like gmail
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or canva and handles sub -agent orchestration
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which is delegating tasks to other agent instances sometimes in parallel
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and here's how the two pieces work together modern llms are trained to reason to think through steps
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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,
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and then the harness executes it.
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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.
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It thinks again on what to do, maybe calls a tool, and it goes on and on.
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Note that LLMs have a limit to their working memory called the context window.
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Your chat history, your prompt, files, all those tool outputs all go in to that context window
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and eventually it fills up and the harness detects this and intelligently performs context compression.
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So those are the two pieces of chatbot AI agents.
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LLMs are the brain generating text and the harness is like the body.
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It gives them the ability to actually take actions and make changes.
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I hope this is helpful.
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Please leave your questions in the comments and follow for more AI explainers.
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Sobre esta lección
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.