AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

TutoSartup excerpt from this article:
This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets... Generative AI agents, which form the backbone of AI-powered assistants, can orchestrate interactions between foundation models, data sources, software applications, and users... As AI technology advances, the abilities of generative AI agents are expected to grow, providi...

Build exciting career opportunities with new Azure skilling options

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In this blog, we’ll look back at some of the most exciting Microsoft Azure tools that were featured at Build 2024 and put you on the path to attain proficiency...   Start your skilling journey today on Microsoft Learn Build intelligent apps with AI and cloud-native technologies Learn more ...

Optimizing Amazon Simple Queue Service (SQS) for speed and scale

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After several public betas, we launched Amazon Simple Queue Service (Amazon SQS) in 2006... Today I would like to tell you how we recently made improvements to Amazon SQS to reduce latency, increase fleet capacity, mitigate an approaching scalability cliff, and reduce power consumption... Improving SQS Like many AWS services, Amazon SQS is implemented using a collection of internal microservices...

AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock

TutoSartup excerpt from this article:
We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock... What is Jamba-Instruct Jamba-Instruct is an instruction-tuned version of the Jamba base model, previously open sourced by AI21 Labs, which combines a production grade-model, Structured State Space (SSM) technology, and Transformer architecture... With the SSM approach, Jamba-Instruct...

Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container

TutoSartup excerpt from this article:
Amazon Web Services is excited to announce the launch of the AWS Neuron Monitor container, an innovative tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS)... The Neuron Monitor container can also run on Amazon Elastic Container Service (Amazon ECS), but for the purpose of this post, we primarily discuss A...

Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

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Extracting valuable insights from customer feedback presents several significant challenges... Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond promptly and address customer concerns... Inefficient routing and prioritization of customer inquiries or issues can lead to delays and dissatisfaction... These pain points highlight the need to streamline the ...

Build safe and responsible generative AI applications with guardrails

TutoSartup excerpt from this article:
Enabling guardrails plays a crucial role in mitigating these risks by imposing constraints on LLM behaviors within predefined safety parameters... This post aims to explain the concept of guardrails, underscore their importance, and covers best practices and considerations for their effective implementation using Guardrails for Amazon Bedrock or other tools... Introduction to guardrails for LLM...