Build powerful RAG pipelines with LlamaIndex and Amazon Bedrock

TutoSartup excerpt from this article:
This necessitates more advanced RAG techniques on the query understanding, retrieval, and generation components in order to handle these failure modes... It provides a flexible and modular framework for building and querying document indexes, integrating with various LLMs, and implementing advanced RAG patterns... We discuss how to set up the following: Simple RAG pipeline – Set up a RAG...

Evaluating prompts at scale with Prompt Management and Prompt Flows for Amazon Bedrock

TutoSartup excerpt from this article:
As generative artificial intelligence (AI) continues to revolutionize every industry, the importance of effective prompt optimization through prompt engineering techniques has become key to efficiently balancing the quality of outputs, response time, and costs... A high-quality prompt maximizes the chances of having a good response from the generative AI models... Beyond the most common evaluation...

Will Friday’s Jobs Report Alter The Upbeat Q3 GDP Nowcast?

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Wall Street is wondering if the upcoming payrolls report for August will change the calculus...Nomura Securities predicts a stronger pace of hiring in Friday’s report... “We expect the employment report to show a reassuring rebound in job gains and a downtick in the unemployment rate,” the firm wrote in a research note on Friday...The current lineup of US GDP nowcasts for the third quar...

Deploy Amazon SageMaker pipelines using AWS Controllers for Kubernetes

TutoSartup excerpt from this article:
A challenge for DevOps engineers is the additional complexity that comes from using Kubernetes to manage the deployment stage while resorting to other tools (such as the AWS SDK or AWS CloudFormation) to manage the model building pipeline... One alternative to simplify this process is to use AWS Controllers for Kubernetes (ACK) to manage and deploy a SageMaker training pipeline... ACK allows you...

Effectively manage foundation models for generative AI applications with Amazon SageMaker Model Registry

TutoSartup excerpt from this article:
Generative artificial intelligence (AI) foundation models (FMs) are gaining popularity with businesses due to their versatility and potential to address a variety of use cases... Managing these models across the business and model lifecycle can introduce complexity... Amazon SageMaker, a fully managed service to build, train, and deploy machine learning (ML) models, has seen increased adoption to...

Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

TutoSartup excerpt from this article:
Many ecommerce applications want to provide their users with a human-like chatbot that guides them to choose the best product as a gift for their loved ones or friends... To enhance the customer experience, the chatbot need to engage in a natural, conversational manner to understand the user’s preferences and requirements, such as the recipient’s gender, the occasion for the gift, and the desi...

AWS achieves HDS certification in four additional AWS Regions

TutoSartup excerpt from this article:
Amazon Web Services (AWS) is pleased to announce that four additional AWS Regions—Asia Pacific (Hong Kong), Asia Pacific (Osaka), Asia Pacific (Hyderabad), and Israel (Tel Aviv)—have been granted the Health Data Hosting (Hébergeur de Données de Santé, HDS) certification, increasing the scope to 24 global AWS Regions... California) US West (Oregon) Asia Pacific (Hong Kong) Asia Pacifi...