シャドーイング練習: Amazon Bedrock Tutorial | Getting Started with Amazon Bedrock | AI Model Access & Testing - YouTubeで英語スピーキングを学ぶ
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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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このレッスンについて
このレッスンでは、Amazon Bedrockの基本的な操作方法について学びます。特に、AWSの地域設定からAIモデルへのアクセス方法まで、実際的なステップを踏んでいきます。このプロセスを通して、英語での実践的な会話に必要なフレーズや語彙を強化し、次回のIELTS スピーキング対策の際に役立つスキルを身につけましょう。
重要な語彙とフレーズ
- AWS - Amazon Web Servicesの略。さまざまなクラウドコンピューティングサービスを提供するプラットフォーム。
- 地域設定 - サービスを提供する地域を選択するプロセス。
- AIモデル - 人工知能を用いた様々なタスクを実行するためのプログラム。
- モデルアクセスのリクエスト - 使用したいモデルにアクセスするための申請。
- コスト - モデルを使用する際に発生する料金。
- サーベイ情報 - 企業や業界に関する基本的なデータの提供。
- モデルカード - 各AIモデルについての簡易的な情報を提供するガイド。
練習のヒント
この動画の内容を効果的に学ぶためには、英語のシャドーイングが非常に有用です。以下のポイントを参考にし、shadowspeaksの手法を活用しましょう：
- 動画を最初から最後まで見た後、再生速度を調整して、遅くしたり、早くしたりしながらシャドーイングしてみてください。
- 特に重要なフレーズや専門用語を何度も繰り返し発音練習し、ネイティブの発音に近づけるように努力しましょう。
- リズムやイントネーションを意識し、声に出して自分の耳でも確認しながら練習すると、英語の感覚をより深められます。
- 同じフレーズを繰り返し練習することで、自信を持ってさまざまな状況で発言できるようになります。
- 他のリソースやYouTubeで英語学習の動画を組み合わせることで、さらに多彩な英語の表現力を養えます。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。