课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify
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AWS Rust compilation
课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify
AWS Rust compilation
- [Instructor] Today we're going to look at how AWS Responsible AI could integrate with the Rust compilation pipeline to create secure and reliable code. So really, it's a combination of the best of Rust with the best of Responsible AI on AWS. At the top here, we have the compilation factory. So one of the reasons why people are so interested in Rust is that it has this robust compilation pipeline. You can see the parser scans the incoming code. It represents this by the green beam. And then the Type Checker is this pulsing radar that ensures the type safety. And the LLVM Backend is this dynamic flame that optimizes the code in progress. So there's a lot of benefits with a modern compiled language. And at the very end, you have a secure binary output that emerges with this validated code. But we can go even more, in the middle, we're watching the actual development process. And what you do is you start with cargo new, so the project manager is able to look at the structure, build it…
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Course introduction1 分钟 29 秒
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AI security architecture4 分钟 19 秒
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AI auth patterns4 分钟 1 秒
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Complete AI security3 分钟 49 秒
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AI monitoring and logging3 分钟 51 秒
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AWS Rust compilation3 分钟 49 秒
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Monitoring Bedrock calls3 分钟 46 秒
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Visualizing Bedrock API calls2 分钟 51 秒
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