Automate PDF pre-labeling for Amazon Comprehend

TutoSartup excerpt from this article:
To reduce the effort of preparing training data, we built a pre-labeling tool using AWS Step Functions that automatically pre-annotates documents by using existing tabular entity data... In this post, we walk you through the steps of setting up the pre-labeling tool and show examples of how it automatically annotates documents from a public dataset of sample bank statements in PDF format... So...

Improve your Stable Diffusion prompts with Retrieval Augmented Generation

TutoSartup excerpt from this article:
As an ever-increasing number of customers embark on their text-to-image endeavors, a common hurdle arises—how to craft prompts that wield the power to yield high-quality, purpose-driven images... This challenge often demands considerable time and resources as users embark on an iterative journey of experimentation to discover the prompts that align with their visions... In this post, we demons...

Game Developer’s Guide to Amazon DocumentDB (with MongoDB compatibility) Part Two: Design and Development Best Practices

TutoSartup excerpt from this article:
In this blog, we will cover capacity planning, data modeling, indexing, and connecting to DocumentDB cluster... Let’s take a look at cluster sizing as it relates to instance performance... For more information on indexing refer to How to index on Amazon DocumentDB (with MongoDB compatibility) Connecting to cluster  Amazon DocumentDB provides multiple connection options including cluster e...

Governance at scale: Enforce permissions and compliance by using policy as code

TutoSartup excerpt from this article:
AWS Identity and Access Management (IAM) policies are at the core of access control on AWS... They enable the bundling of permissions, helping to provide effective and modular access control for AWS services... Service control policies (SCPs) complement IAM policies by helping organizations enforce permission guardrails at scale across their AWS accounts... The use of access control policies is...

Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe

TutoSartup excerpt from this article:
In this post, we explore how to use Amazon Transcribe and Amazon Bedrock to automatically generate clean, concise summaries of video or audio recordings... We walk through a solution to transcribe a project team meeting and summarize the key takeaways with Amazon Bedrock... Solution overview By combining Amazon Transcribe and Amazon Bedrock, you can save time, capture insights, and enhance co...

Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2

TutoSartup excerpt from this article:
In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2... We then use a large model inference container powered by Deep Java Library (DJLServing) as our model serving solution... Solution overview Efficient Fine-tuning Llama2 using QLoRa The Llama 2 family of large language models (LLMs) is a...

Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions

TutoSartup excerpt from this article:
The built-in project templates provided by Amazon SageMaker include integration with some of third-party tools, such as Jenkins for orchestration and GitHub for source control, and several utilize AWS native CI/CD tools such as AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild... In this post, we show you a step-by-step implementation to achieve the following: Create a custom SageMaker ML...