Pratique du Shadowing: Amazon Bedrock Tutorial | Getting Started with Amazon Bedrock | AI Model Access & Testing - Apprendre l'anglais à l'oral avec YouTube

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Let's get hands-on overview of Amazon Bedrock,
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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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Why practice speaking with this video?

This tutorial on Amazon Bedrock offers an excellent opportunity for English learners to engage with technical vocabulary in a real-world context. By practicing speaking while following along with the video, you can enhance your IELTS speaking practice. The interactive nature of the tutorial allows you to shadow speak—a technique where you mimic the speaker, improving both fluency and pronunciation. This method helps in retaining complex terminology while ensuring that you are comfortable using it in conversation.

Grammar & Expressions in Context

Throughout the tutorial, several key grammatical structures and expressions stand out, providing valuable insight into effective communication within technology-related contexts:

  • Imperative sentences: The speaker often uses direct commands like "set that region" and "type Amazon Bedrock into the search bar." These sentences are crucial for clarity in instructions, making them perfect for learners to practice.
  • Conditional sentences: Phrases such as "if you get a quick pop-up" highlight the use of conditionals to discuss possible outcomes. This is essential for anticipating reactions in discussions or tutorials.
  • Explaining processes: The structure "this will show you" followed by the action required indicates how to effectively explain a sequence of actions, a valuable skill in both academic and conversational English.

Common Pronunciation Traps

When practicing with this video, learners may encounter tricky pronunciation challenges. Here are a few to watch out for:

  • The term "foundation models" may be difficult for some learners. Focus on the blending of sounds in "found-a-tion" /fəʊnˈdeɪ.ʃən/.
  • Words like "providers" and "industry" can pose issues due to their syllable stress. Practice emphasizing the first syllable in "pro-viders" and "in-dus-try" to avoid common pitfalls.
  • The phrase "request model access" includes multiple content-specific words that may not be familiar. Pay attention to the fluidity of saying "request access," as it is often said quickly in conversation.

By utilizing these tips, English learners can effectively enhance their skills using the shadowing technique. Whether through a shadowing app or just listening closely, you can considerably improve your ability to talk about technical subjects in English confidently.

Qu'est-ce que la technique du Shadowing ?

Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.

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