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Fine-Tuning vs Prompt Engineering on AWS: What’s the Right Approach?

Leave a Comment / Gen AI & AWS GenAI Stack /

Introduction So you’ve chosen your model, maybe Claude via Bedrock or Falcon on SageMaker.Now the next question hits:Should we fine-tune this model? Or can we just prompt it better?Choosing between fine-tuning and prompt engineering isn’t just technical, it’s strategic.Let’s explore when each approach makes sense in the AWS ecosystem, how they differ, and how to […]

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Multi-Modal Models on AWS: What’s Possible Today?

Leave a Comment / Gen AI & AWS GenAI Stack /

Introduction In 2025, GenAI is no longer limited to just words on a screen.From images to text, audio to documents, multi-modal models are now shaping how we interact with AI-powered applications.So, where does AWS stand in this multi-modal future?Let’s explore what’s possible right now on AWS when it comes to multi-modal GenAI and how to

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RAG on AWS: Retrieval-Augmented Generation Architecture & Best Practices

Leave a Comment / Gen AI & AWS GenAI Stack /

Introduction Large language models are brilliant, but they forget things.They can’t answer questions about your private docs or industry-specific data unless you fine-tune them or… use RAG.RAG (Retrieval-Augmented Generation) is the fastest, safest way to make GenAI models useful for your data, without retraining anything.In this post, we’ll explain how to build a RAG pipeline

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AI-Powered Automation for Customer Support Using Lex + Bedrock

Leave a Comment / Automation with AI Series /

Introduction Customer support is evolving. In 2025, users don’t want to wait in queues or repeat themselves; they expect instant, intelligent responses.With Amazon Lex handling conversations and Amazon Bedrock generating contextual replies, you can automate 60–80% of common support interactions, without sacrificing personalization.This post walks through how to build an AI-powered customer support bot using

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How to Use AI to Summarize Logs, Alerts & Tickets Automatically

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Introduction Logs, alerts, and support tickets are the lifeblood of operational visibility in DevOps and IT teams.But the sheer volume can overwhelm even the best engineers, especially when you’re working across multiple AWS accounts, services, and regions.Instead of manually parsing hundreds of lines of logs or clicking through dozens of alerts, you can now use

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Invoice Extraction and Processing with Textract + Bedrock

Leave a Comment / Automation with AI Series /

Introduction Processing invoices manually is slow, error-prone, and expensive.Even with basic OCR, you often end up spending hours fixing formatting issues, hunting for missing data, and manually entering details into accounting systems.With AWS Textract and Bedrock, you can automate invoice extraction and add AI-powered data validation, turning raw PDFs into clean, structured, ready-to-use records.This approach

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Build a Self-Healing Cloud Architecture with Automation Scripts & AI

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Introduction Downtime is expensive. In a cloud-native environment, even a few minutes of service disruption can mean lost revenue, SLA breaches, and customer churn.The good news? With the right mix of AWS automation services and AI-driven decision-making, you can build a self-healing architecture, one that detects failures, takes corrective action, and restores service without waiting

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Getting Started with AWS GenAI Stack: What You Need to Know in 2025

Leave a Comment / Gen AI & AWS GenAI Stack /

Introduction Generative AI isn’t hype anymore; it’s a practical, transformative layer across industries. AWS has rapidly evolved to offer a full-stack suite for teams looking to build, deploy, and scale GenAI applications.If you’re exploring AWS for GenAI in 2025, this guide is your starting point. What is the AWS GenAI Stack? The AWS GenAI Stack

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Bedrock vs SageMaker: Which AWS Service Is Best for Your GenAI Use Case?

Leave a Comment / Gen AI & AWS GenAI Stack /

Introduction When building GenAI applications on AWS, two services usually lead the conversation: Amazon Bedrock and Amazon SageMaker.But which one should you choose?It depends not on which is more powerful, but on your specific use case, skill set, and deployment goals.Let’s break it down. Quick Overview When to Use Amazon Bedrock The fastest way to

Bedrock vs SageMaker: Which AWS Service Is Best for Your GenAI Use Case? Read More »

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