aws-sdk-js VS amazon-bedrock-with-builder-and-command-patterns

⚠️Here's the issue: https://github.com/aws/aws-sdk-js/issues/4519

The updates could be parsed from the github repo's CHANGELOG files (ex: javascript, java, python). I'm picturing an RSS feed generated for a specific language and module (ex: python s3, javascript s3, java sqs)

Another option is to look at the changelog for the AWS SDK. Because the AWS SDK has to have support for pretty much every service ever it gets a new version and a changelog whenever new things are added. I like to refer to this changelog from time to time: https://github.com/aws/aws-sdk-js/blob/master/CHANGELOG.md

From this thread I double-checked that all query strings and the origin, Access-Control-Request-Method and Access-Control-Request-Headers are sent to the origin (I ran into some signature mismatch issues before that were solved with this origin request policy).

Now that you have installed MinIO server, let's use it on your project. I will be using the official S3 JavaScript SDK as example. But should be applicable for all other S3 SDKs.

The client is only available for Java and Python. https://github.com/aws/aws-sdk-js/issues/1164

The best way I've found to locate the X-Amz-Target value is from this AWS support ticket where it is recommend to look at the SDK docs for the service and locate the targetPrefix field in the metadata.

I wonder if there's a way to only bring in the S3 SDK from aws-sdk to help trim the file size. I believe there might be a way to import only certain files, maybe something like this?

Due to performance reasons, one of the goals was to switch to rollup for bundling all our applications, however, we use webpack due to rollup’s known issues with aws-sdk.

The second service is what’s going to make our application come alive and give it the AI functionality we need and that service is AWS Bedrock which is their new generative AI service launched in 2023. AWS Bedrock offers multiple models that you can choose from depending on the task you’d like to carry out but for us, we’re going to be making use of Meta’s Llama V2 model, more specifically meta.llama2-70b-chat-v1.

Amazon Bedrock

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Each model is accessible through a common API which implements a broad set of features to help build generative AI applications with security, privacy, and responsible AI in mind.

For those keeping track, Amazon Bedrock became generally available in September of 2023. My team had access to a preview, so when the AWS Comprehend entity analysis did not lend itself well to my use case; and I didn't feel like training a model, I started to get familiar with Bedrock. The following post is a follow-on to the Community article above and fleshes out a few details that will help those newer to Amazon Bedrock navigate the product.

In this blog you will learn how to use Amazon Cognito credentials and IAM Roles to invoke Amazon Bedrock API in a react-based application with JavaScript and the CloudScape design system. You will deploy all the resources and host the app using AWS Amplify.

Working with the AWS Bedrock API is an exhilarating experience! I came across an interesting business case where I needed to develop an AI MVP. The MVP generates JSON data based on a prompt and utilizes the anthropic.claude-v2:1 model in AWS Bedrock.