Amazon Bedrock: Fast-track gen AI from prototype to production | Amazon Web Services
See how generative AI applications move from prototype to production. This video shows how Amazon Bedrock connects you to foundation models, tools for model optimization, and services for building AI agents. Watch the video to see how you can build and scale generative AI applications faster on AWS.
Amazon Bedrock is an AWS service that gives you a single, managed environment to build and run generative AI applications and agents. Instead of stitching together separate tools, you get:
- Access to leading foundation models (FMs)
- Services to deploy and operate AI agents
- Tools to fine-tune, safeguard, and optimize models
- Knowledge bases to connect your applications to your latest data
This setup is designed to help teams move from early experimentation to real-world deployment more smoothly, while staying within a secure, flexible AWS environment.
How can my organization use Amazon Bedrock in practice?
You can use Amazon Bedrock as the backbone for your generative AI workflow:
1. **Experiment and prototype**
Start by exploring different foundation models available through Bedrock. You can quickly test prompts, compare model behavior, and identify which models fit your use case.
2. **Customize and connect to your data**
Use Bedrock’s tools to fine-tune or adapt models and connect them to knowledge bases so your applications can work with your most recent business data.
3. **Deploy agents and applications**
Bedrock includes services to deploy and operate agents that can handle tasks such as answering questions, assisting users, or automating workflows.
4. **Operate and optimize in production**
Once in production, you can use Bedrock’s capabilities to safeguard and optimize models, while relying on AWS’s cloud infrastructure for security, reliability, and performance.
If you’re new to AWS, you can start with a free AWS account and explore Bedrock alongside other AWS services as you build out your solution.
Why run generative AI on AWS with Amazon Bedrock?
Running generative AI on AWS with Amazon Bedrock lets you tap into AWS’s broader cloud capabilities while focusing on your application logic rather than infrastructure.
Key reasons teams choose this approach:
- **Breadth of cloud services**: AWS offers a wide range of cloud capabilities that you can integrate with Bedrock—data services, security, monitoring, and more—so your AI applications fit into your existing stack.
- **Global infrastructure**: You can deploy closer to your users using AWS’s global footprint, which helps with performance and availability.
- **Security and reliability focus**: Bedrock runs on AWS’s cloud platform, which is designed with strong security, reliability, and performance practices.
- **Ecosystem and support**: You can work with AWS Partners, explore solutions in AWS Marketplace, and tap into the AWS re:Post community for technical questions.
This combination helps organizations reimagine how they build and scale generative AI, without having to manage all the underlying infrastructure themselves.
Amazon Bedrock: Fast-track gen AI from prototype to production | Amazon Web Services
published by Silicon Network
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