Shadowing Practice: Amazon Bedrock Tutorial | Getting Started with Amazon Bedrock | AI Model Access & Testing - Learn English Speaking with Video
Creando lección...
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Let's get hands-on overview of Amazon Bedrock,
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AWS's powerful platform for working with generative AI models.
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The first thing you'll want to do is switch your AWS region to US East,
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Northern Virginia, also known as US East 1.
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Why?
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Well, some AI services are only available in certain regions,
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and choosing US East 1 ensures that you'll have access to everything we need for this hands-on session.
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So go ahead, set that region,
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and we're ready to roll.
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Once your region is set,
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type Amazon Bedrock into the search bar to go to Amazon Bedrock UI.
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You might get a quick pop-up.
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You can just close that and now we're ready to explore.
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Now we're on the overview page.
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Here it says, Amazon Bedrock supports over 100 foundation models from industry-leading providers and emerging leaders.
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On the left-hand side, click on Providers.
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You'll see a list of AI providers.
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These are companies offering pre-trained foundation models that you can use right away.
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Right now, you'll see familiar names like AI21 Labs,
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Amazon, Anthropic, Cohere, Meta, Mistal AI, and Stability AI.
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This list might grow over time.
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When you click on a provider,
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you'll get details about their models.
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Let's say we click on Amazon's models.
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You'll see a list of models,
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and each one has a model card.
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This is like a quick cheat sheet.
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It tells you what the model is for, other related information.
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Before we can actually use these models,
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we need to enable access.
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So, click on Request Model Access.
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This will show you all the available models,
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but you'll notice that most of them aren't enabled yet.
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The quickest way?
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Just click Enable All Models.
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This will request access to every model at once.
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Super simple!
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Next, you'll be asked for a few basic details like company name, website, industry.
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This is just survey information so you can fill it in quickly.
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Don't overthink it.
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Submit that, and within a few minutes your access should be granted.
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Some models may take a little longer or show errors.
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That's okay.
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As long as you get access to some, you're good to go.
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A quick note on costs.
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Before we move on, let's talk money.
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Enabling models is free, but using them costs money.
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It's usually a few cents per request,
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but it can add up depending on how much you use.
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So just keep that in mind as we experiment.
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You can always watch and follow along without running the models yourself if you'd prefer to avoid charges.
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All right, now that you've got model access,
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let's let's get hands-on now.
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Let's click on chat slash text under Playgrounds on the left side menu where you can try out different models
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and find out what each model can do.
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From the mode, chat is fine to try out which is default.
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The other option is Single Prompt that generates single response from a model.
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Click on Select Model.
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Here, you can choose a model.
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Under Amazon Category, let's pick Amazon Titan G1 Express.
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For inference, default on-demand is good for the tryout.
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The other option, provisioned throughput,
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can be expensive as in this option,
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you request AWS to allocate resources for the throughput you require in a deployment.
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An instance profile is used to pass role information to an EC2 instance.
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This is used to manage temporary credentials on the EC2 instance.
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So on-demand option is good for trying out different models here,
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get a general understanding about using them.
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Click on Apply.
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On the left side, there are different configuration options that we will cover in another lecture.
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Type in a prompt.
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For example, what is Amazon Web Services?
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And click Run.
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In a few seconds, you'll get a response,
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what is Amazon Web Services?
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Feel free to try other prompts and experiment with different questions.
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Now, let's try another model like Anthropics Claude 3-5 Sonnet V2.
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Click on Apply.
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Ask something like, what is AWS?
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Click Run, and the model will give you a conversational response.
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What's cool is that you'll also see performance details like latency,
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how fast the model responded,
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input and output tokens, which is about how much text was processed.
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These metrics help you understand how the model is working behind the scenes.
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Finally, let's generate some images.
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This can be more expensive than text, so use it sparingly.
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Go to the image playground and select Amazon Model Title Image Generator G1 version V2.
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Default on demand is fine for the inference.
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Click on Apply.
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Enter a simple prompt like,
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Please generate an image for a lion taking rest.
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Click Run, and you'll see AI-generated images based on your description.
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You can adjust the settings,
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like Image Size, Number of Images.
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It's a fun feature, but keep in mind the cost.
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So, here's what we covered today,
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setting up Amazon Bedrock and enabling models.
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Exploring model providers.
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Using the chat and image playgrounds to generate content.
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That's your introductory tour of Amazon Bedrock.
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Whether you just watched along or got hands-on,
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I hope this gave you a clear understanding of how to get started with Generative AI on AWS.
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See you in the next one!
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Vocabulario y notas de pronunciación para esta lección
Esta lección de conversación de nivel C1 se basa en el vídeo “Amazon Bedrock Tutorial”. Las palabras que más se repiten: model, click, Amazon, image, access. Este vídeo tiene 103 frases y 873 palabras para practicar shadowing. La parte hablada dura 6:02. El hablante mantiene un ritmo constante de unas 145 palabras por minuto, cómodo para el shadowing. El 85 % de las palabras está entre las 3.000 más comunes del inglés; conviene repasar el resto antes de empezar.
Vocabulario clave de este vídeo
Las 15 palabras más avanzadas del vídeo, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| prompt verbo | /pɹɑmpt/ | llevar a, concitar |
| playground sustantivo | /ˈpleɪɡɹaʊnd/ | espacio infantil, patio lúdico/recreativo (infantil) |
| generative adjetivo | /ˈd͡ʒɛnəɹətɪv/ | generativo |
| inference sustantivo | /ˈɪn.fə.ɹəns/ | inferencia, ilación |
| throughput sustantivo | /ˈθɹuː.pʊt/ | tasa de datos, tasa de transferencia |
| allocate verbo | /ˈæl.ə.keɪt/ | asignar, adjudicar |
| conversational adjetivo | /ˌkɒnvə(ɹ)ˈseɪʃənəl/ | conversacional |
| credential sustantivo | /kɹɪˈdɛnʃəl/ | credencial |
| latency sustantivo | /ˈleɪ.tən.si/ | latencia |
| overthink verbo | pensar(lo) demasiado / demasiadamente, pensar(lo) de más | |
| sparingly adverbio | con moderación, moderadamente | |
| tryout sustantivo | /ˈtɹaɪˌaʊt/ | probatura |
| introductory adjetivo | /ˌɪntɹəˈdʌktəɹi/ | introductorio |
| token sustantivo | /ˈtoʊkən/ | seña |
| metric adjetivo | /ˈmɛt.ɹɪk/ | métrico |
Phrasal verbs que vas a escuchar
| Palabra | Pronunciación | Significado |
|---|---|---|
| try out verbo | probar, ensayar | |
| add up verbo | adicionar | |
| find out verbo | averiguar, anoticiarse | |
| go ahead verbo | /ˌɡoʊ əˈhɛd/ | venga, adelante |
| pop up verbo | aparecerse |
Gramática en este vídeo
Las estructuras que más usa el hablante, con las palabras exactas del vídeo:
| Estructura | En el vídeo |
|---|---|
| Voz pasiva be + participio pasado — importa lo que ocurre, no quién lo hace | is set · aren't enabled · be asked |
| Oraciones de relativo who / which + oración — información extra sobre una persona o cosa | out which is · tokens, which is |
Pronunciación a tener en cuenta
El hablante usa 19 contracciones y formas reducidas, como you'll, we're, aren't. Dilas en su forma corta, tal como las oyes.
- Los sonidos de “sh” y “zh”: conversational /ˌkɒnvə(ɹ)ˈseɪʃənəl/, credential /kɹɪˈdɛnʃəl/, configuration /kənˌfɪɡ.əˈɹeɪ̯.ʃən/
- Palabras largas — cuida el acento: generative /ˈd͡ʒɛnəɹətɪv/, conversational /ˌkɒnvə(ɹ)ˈseɪʃənəl/, introductory /ˌɪntɹəˈdʌktəɹi/, configuration /kənˌfɪɡ.əˈɹeɪ̯.ʃən/
Sonidos difíciles para hispanohablantes:
- /v/ — no es /b/: los dientes tocan el labio inferior: generative /ˈd͡ʒɛnəɹətɪv/, conversational /ˌkɒnvə(ɹ)ˈseɪʃənəl/
- /dʒ/ — no es la “y” ni la “ch”: generative /ˈd͡ʒɛnəɹətɪv/, emerge /ɪˈmɝd͡ʒ/, adjust /əˈd͡ʒʌst/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Haz shadowing frase por frase a velocidad normal, repitiendo cada una hasta que tu ritmo coincida con el del hablante.
- Grábate y compara con el original, prestando atención a palabras como prompt, playground, generative.
¿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.