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[0:00]I work as a senior developer advocate at AWS, and I'm very excited to be here with you today to talk about this amazing service.
[0:00]Before we get started, I just want to show you the agenda that we're going to cover today.
[0:00]So first, we're going to have an overview about the service that we're going to cover today, which is Amazon Bedrock.
[0:00]After that, we're going to talk about the differentiating factors and features that Amazon Bedrock offers you.
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[0:00]Hello, everyone. My name is Alan. I work as a senior developer advocate at AWS, and I'm very excited to be here with you today to talk about this amazing service. Before we get started, I just want to show you the agenda that we're going to cover today. So first, we're going to have an overview about the service that we're going to cover today, which is Amazon Bedrock. After that, we're going to talk about the differentiating factors and features that Amazon Bedrock offers you. Then, we're going to talk about the models that are supported in Amazon Bedrock. And after that, we're going to talk about the use cases for Amazon Bedrock. And finally, we're going to have a demo about how you can use Amazon Bedrock. So let's get started. First, what is Amazon Bedrock? Amazon Bedrock is a fully managed service that makes foundation models from Amazon and leading AI startups available through an API. So you can choose from a variety of FMs to find the model that is best suited for your use case. And also, you can customize those models with your own data, and you can integrate them into your applications using the AWS tools that you are already familiar with. So let's see how Bedrock works. On the left, we have Amazon Bedrock, and on the right, we have an example of a service that uses Amazon Bedrock, which is an application that uses Amazon Bedrock. So Amazon Bedrock offers you a lot of foundational models, and you can also customize them with your own data. After that, you can build your applications using the Bedrock API, and then you can integrate your applications with the AWS services that you're already familiar with. Now, let's talk about the differentiating factors that Amazon Bedrock offers you. First, Amazon Bedrock is serverless, so you don't have to manage any infrastructure. It's a fully managed service that takes care of the infrastructure for you. Also, it's a scalable service, so you can scale your applications up and down as needed. And finally, it's an enterprise-ready service. So you have security, privacy, and compliance built in. Now, let's talk about the models that are supported in Amazon Bedrock. So Amazon Bedrock offers you a variety of models from different providers. So you have models from AI 21 Labs, Anthropic, Stability AI, and Amazon. So let's take a look at each of those models. First, we have AI 21 Labs, and they offer you the Jurassic family of models. And those models are mainly used for text generation, question answering, and summarization. So basically, if you want to create a conversational bot, you can use those models. After that, we have Anthropic, and they offer you the Claude model. And Claude is a large language model that is based on research into training helpful, honest, and harmless AI systems. And it's mainly used for a wide range of conversational and text processing tasks. So you can use it for summarization, question answering, and text generation. After that, we have Stability AI, and they offer you the Stable Diffusion models. And those models are mainly used for generating images from text. So if you want to create an application that generates images from text, you can use those models. And finally, we have Amazon, and Amazon offers you the Titan family of models. And those models are a family of foundation models created by AWS. And they have two models. So we have the Titan text embeddings, and we have the Titan text generation. The Titan text embeddings converts text input into numerical representations, which are called embeddings. And it's mainly used for personalization, search, and recommendations. So basically, if you want to create an application that recommends products to your customers, you can use this model. And then we have the Titan text generation, which is mainly used for text generation, summarization, and open-ended question answering. So you can use it for creating conversational bots, for example. Now, let's talk about the use cases for Amazon Bedrock. So you can use Amazon Bedrock for text generation, so you can create blog posts, articles, and even books. You can also use it for chatbots, so you can create conversational bots that can answer questions and provide information to your customers. You can also use it for summarization, so you can summarize long documents, articles, and even books. You can also use it for search, so you can create a search engine that can search for information in your documents. And finally, you can use it for image generation, so you can generate images from text. Now, let's have a demo about how you can use Amazon Bedrock. I will go to the AWS console, and I will search for Amazon Bedrock. As you can see, Amazon Bedrock is a fully managed service that offers you a lot of foundational models. So let's get started. First, you need to enable the models that you want to use. So I will go to model access. And as you can see, I have already enabled a lot of models. But if you want to enable a new model, you can click on manage model access, and then you can select the models that you want to enable. So for example, I will enable the Anthropic Claude model. And then I will save changes. Now, let's go to the playground. We have three types of playground. We have text, chat, and image. Let's start with text. So I will select the Anthropic Claude model. And then I will type a prompt. So I will ask it to summarize the following text. And then I will paste a text that I have already copied. And then I will click on run. As you can see, it summarized the text for me. And I can also change the model to a different model. So for example, I will use the AI 21 Labs model. And then I will click on run. As you can see, it also summarized the text for me. Now, let's go to the chat playground. So I will select the Anthropic Claude model again. And then I will start a chat. So I will ask it, what is the capital of France? And as you can see, it replied with Paris. And I will ask it, what is the capital of Japan? And it replied with Tokyo. Now, let's go to the image playground. So I will select the Stability AI model. And then I will ask it to generate an image of a cat riding a bicycle. And then I will click on generate. And as you can see, it generated an image of a cat riding a bicycle. So that's how you can use Amazon Bedrock. I hope you enjoyed this demo, and I hope you enjoyed this session. Thank you for watching.

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