跟读练习: Amazon Bedrock Tutorial | Getting Started with Amazon Bedrock | AI Model Access & Testing - 通过YouTube学习英语口语
C1
Let's get hands-on overview of Amazon Bedrock,
103 句
如果句子过短或过长，请点击 Edit 进行调整。
1
Let's get hands-on overview of Amazon Bedrock,
2
AWS's powerful platform for working with generative AI models.
3
The first thing you'll want to do is switch your AWS region to US East,
4
Northern Virginia, also known as US East 1.
5
Why?
6
Well, some AI services are only available in certain regions,
7
and choosing US East 1 ensures that you'll have access to everything we need for this hands-on session.
8
So go ahead, set that region,
9
and we're ready to roll.
10
Once your region is set,
11
type Amazon Bedrock into the search bar to go to Amazon Bedrock UI.
12
You might get a quick pop-up.
13
You can just close that and now we're ready to explore.
14
Now we're on the overview page.
15
Here it says, Amazon Bedrock supports over 100 foundation models from industry-leading providers and emerging leaders.
16
On the left-hand side, click on Providers.
17
You'll see a list of AI providers.
18
These are companies offering pre-trained foundation models that you can use right away.
19
Right now, you'll see familiar names like AI21 Labs,
20
Amazon, Anthropic, Cohere, Meta, Mistal AI, and Stability AI.
21
This list might grow over time.
22
When you click on a provider,
23
you'll get details about their models.
24
Let's say we click on Amazon's models.
25
You'll see a list of models,
26
and each one has a model card.
27
This is like a quick cheat sheet.
28
It tells you what the model is for, other related information.
29
Before we can actually use these models,
30
we need to enable access.
31
So, click on Request Model Access.
32
This will show you all the available models,
33
but you'll notice that most of them aren't enabled yet.
34
The quickest way?
35
Just click Enable All Models.
36
This will request access to every model at once.
37
Super simple!
38
Next, you'll be asked for a few basic details like company name, website, industry.
39
This is just survey information so you can fill it in quickly.
40
Don't overthink it.
41
Submit that, and within a few minutes your access should be granted.
42
Some models may take a little longer or show errors.
43
That's okay.
44
As long as you get access to some, you're good to go.
45
A quick note on costs.
46
Before we move on, let's talk money.
47
Enabling models is free, but using them costs money.
48
It's usually a few cents per request,
49
but it can add up depending on how much you use.
50
So just keep that in mind as we experiment.
51
You can always watch and follow along without running the models yourself if you'd prefer to avoid charges.
52
All right, now that you've got model access,
53
let's let's get hands-on now.
54
Let's click on chat slash text under Playgrounds on the left side menu where you can try out different models
55
and find out what each model can do.
56
From the mode, chat is fine to try out which is default.
57
The other option is Single Prompt that generates single response from a model.
58
Click on Select Model.
59
Here, you can choose a model.
60
Under Amazon Category, let's pick Amazon Titan G1 Express.
61
For inference, default on-demand is good for the tryout.
62
The other option, provisioned throughput,
63
can be expensive as in this option,
64
you request AWS to allocate resources for the throughput you require in a deployment.
65
An instance profile is used to pass role information to an EC2 instance.
66
This is used to manage temporary credentials on the EC2 instance.
67
So on-demand option is good for trying out different models here,
68
get a general understanding about using them.
69
Click on Apply.
70
On the left side, there are different configuration options that we will cover in another lecture.
71
Type in a prompt.
72
For example, what is Amazon Web Services?
73
And click Run.
74
In a few seconds, you'll get a response,
75
what is Amazon Web Services?
76
Feel free to try other prompts and experiment with different questions.
77
Now, let's try another model like Anthropics Claude 3-5 Sonnet V2.
78
Click on Apply.
79
Ask something like, what is AWS?
80
Click Run, and the model will give you a conversational response.
81
What's cool is that you'll also see performance details like latency,
82
how fast the model responded,
83
input and output tokens, which is about how much text was processed.
84
These metrics help you understand how the model is working behind the scenes.
85
Finally, let's generate some images.
86
This can be more expensive than text, so use it sparingly.
87
Go to the image playground and select Amazon Model Title Image Generator G1 version V2.
88
Default on demand is fine for the inference.
89
Click on Apply.
90
Enter a simple prompt like,
91
Please generate an image for a lion taking rest.
92
Click Run, and you'll see AI-generated images based on your description.
93
You can adjust the settings,
94
like Image Size, Number of Images.
95
It's a fun feature, but keep in mind the cost.
96
So, here's what we covered today,
97
setting up Amazon Bedrock and enabling models.
98
Exploring model providers.
99
Using the chat and image playgrounds to generate content.
100
That's your introductory tour of Amazon Bedrock.
101
Whether you just watched along or got hands-on,
102
I hope this gave you a clear understanding of how to get started with Generative AI on AWS.
103
See you in the next one!
下载应用
AI 为你说出的每个句子打分
TRENDING
热门
為什麼要透過這段視頻練習口語？
透過觀看這段標題為「Amazon Bedrock 教學 | 開始使用 Amazon Bedrock | 人工智能模型訪問與測試」的視頻，學習者可以更深入地了解關於生成型人工智能模型的應用。這段視頻涵蓋了如何在 AWS 平台上設置和訪問多種人工智能模型的過程，並伴隨著清晰而簡潔的講解。這對於正在練習英語口語的學生來說，提供了一個真實的技術背景，使他們能夠理解和應用專業術語，提高他們的語言能力。透過在視頻中模仿說話者的語調和表達，學生可以更好地掌握英語口語技巧，這就是所謂的英语影子跟读方法。
語法與表達在語境中的應用
在視頻中，講者使用了一些關鍵表達和結構，對學習者尤其重要：
- Let’s get hands-on overview of... - 這種開場白提供了一個互動的語境，幫助學生理解如何在開始一個學習過程時引導觀眾。
- You'll want to do is switch... - 使用未來時來表達建議，對於學習者來說，了解如何給予建議是非常實用的。
- ...just close that and now we're ready to explore. - 此處的簡單句結構可以提升學生的語言流暢性，模仿這種結構將有助於口語表達的自然性。
- Submit that, and within a few minutes your access should be granted. - 這種條件句式讓學習者了解如何描述時間與結果之間的關係。
常見的發音陷阱
在這段視頻中，有幾個單詞可能會讓語言學習者困惑，例如：
- enable - 這個單詞的發音可能對於非母語者來說具有挑戰性，學生應該多加練習。
- models - 注意雙音節的發音，尤其是‘o’的發音。
- access - 常見的重音位置是在第一個音節，需要特別留意。
透過在這些上下文中反覆練習，學習者可以提高他們的發音準確性。可以利用各種看YouTube学英语資源來進一步強化這些技能，通過shadow speak和shadowspeak的方法來精進口語表達。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。