Gedion Danielblog.gediondaniel.dev·Dec 11, 2024AWS Elastic Beanstalk: A Developer's Streamlined DeploymentAWS Elastic Beanstalk provides developers with a managed service for deploying and scaling web applications. This platform significantly simplifies the deployment process while maintaining developer control over the underlying infrastructure. Core De...AWS
Gedion Danielblog.gediondaniel.dev·Dec 11, 2024AWS Well-Architected Framework: Building Resilient, Secure, and Efficient Cloud ArchitecturesThe AWS Well-Architected Framework provides a systematic approach to evaluating and building cloud architectures. It represents Amazon Web Services' accumulated experience and best practices in cloud architecture, offering guidance across six fundame...AWS
Gedion Danielblog.gediondaniel.dev·Dec 11, 2024Amazon Rekognition: Guide to Computer Vision FeaturesAmazon Rekognition is a powerful computer vision service that enables developers and businesses to add sophisticated image and video analysis capabilities to their applications. This guide explores its key features and practical applications across v...AWS
David Akumablog.davidakuma.com·Dec 8, 2024Building Multi-Agent AI System(MAS) on AWSWhy Multi-Agent Systems? A single AI model may excel in specific tasks but struggle with multifaceted conversations. Multi-agent systems: Divide responsibilities (e.g., summarization, recommendations, or data extraction). Improve efficiency by dele...32 readsAI, DS and Machine LearningAI
Chandra Prakash Reddydevopstour.hashnode.dev·Dec 4, 2024CEO Keynote with Matt GarmanAWS CEO Matt Garman covers the newest features and technologies that are revolutionizing the cloud space. AWS keeps reinventing scalability and efficiency for companies of all sizes with its advanced AI integrations and improved security solutions. T...6 likesAWS Conferences TourAmazon Nova
Shaun Liewshaunliew.hashnode.dev·Dec 3, 2024Serverless RAG Architecture: Combining MongoDB Atlas Vector Search, Amazon Bedrock, and AWS LambdaBuilding production-ready RAG (Retrieval-Augmented Generation) systems doesn't have to be complex. In this guide, we'll explore how to combine MongoDB Atlas Vector Search, Amazon Bedrock, and AWS Lambda to create an efficient and scalable RAG pipelin...1 like·54 readsAWS
Fady Nabilfadynabil.hashnode.dev·Nov 30, 2024Amazon Bedrock Flows: Now Generally Available with Enhanced Safety and TraceabilityAWS excited to announce the general availability of Amazon Bedrock Flows (previously known as Prompt Flows), a robust feature designed to streamline the creation, deployment, and scaling of generative AI applications on AWS. With an emphasis on enhan...AWS
Wojciech Kaczmarczykaws-notes.hashnode.dev·Nov 19, 2024Why Generative AI Projects Struggle to Reach ProductionIntroduction The rapid advancements in Generative AI (GenAI) have captured the imagination of organizations worldwide. Yet, many Proof-of-Concept (PoC) initiatives fail to transition into production. Based on surveys with AWS GenAI partners, six crit...1 like·26 readsAWS
Sai Chowdary Gullapallymlrad.io·Sep 29, 2024Accelerate Your Cloud-Based LLM Applications: Pro Tips for Lightning-Fast Performance 🚀Large Language Models (LLMs) are widely used in various applications, providing significant value to users. However, developers often encounter challenges, particularly with processing times. This article explores the factors contributing to Large La...133 readsllm
Anthony Watblog.avangards.io·Sep 26, 2024Guardrail Support for the Generic Bedrock Agent Test UIIntroduction In the blog post Developing a Generic Streamlit UI to Test Amazon Bedrock Agents, I shared the design and source code of a basic yet functional UI for testing Bedrock agents. I’ve since added support for Knowledge Bases for Amazon Bedroc...66 readsAWS
