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Gen AI & AWS GenAI Stack

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

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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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GenAI on a Budget: Cost-Optimization Strategies Using AWS Tools

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Introduction Building GenAI apps sounds expensive.And sometimes, it is, especially if you jump straight into fine-tuning LLMs or spinning up GPU clusters without a plan.But here’s the good news: AWS offers several ways to run GenAI workloads cost-effectively if you know where to look.In this post, we’ll share practical strategies to build, test, and deploy

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Using Amazon Titan Models: Strengths, Limits, and When to Avoid Them

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Introduction Amazon Titan is AWS’s own family of foundation models, offered via Amazon Bedrock.Unlike OpenAI or Anthropic models, Titan is designed to be enterprise-first, cost-efficient, and natively integrated with AWS services.But it’s not a silver bullet for every GenAI problem.In this post, we’ll break down:Where Titan models shineWhere they fall shortAnd how to decide if

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Deploying Chatbots on AWS with Bedrock + Lex + Lambda

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Introduction Chatbots aren’t new. But GenAI-powered chatbots? That’s a different ball game, especially when deployed securely, scalably, and serverlessly on AWS. In this guide, we’ll show you how to build and deploy a production-grade chatbot on AWS using: High-Level Architecture SQL User → Amazon Lex → AWS Lambda → Amazon Bedrock (Claude/Titan) → Response →

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

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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

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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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Security & Compliance for GenAI Apps on AWS

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Introduction As GenAI moves from demos to production, security and compliance move from afterthought to foundation.Whether you’re building a chatbot, document processor, or AI agent, trust matters.And in regulated industries like finance, healthcare, or the public sector, it’s non-negotiable.In this post, we’ll walk through the key security and compliance controls for building GenAI apps on

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Case Study: How One Fintech Company Used AWS GenAI to Cut Manual Review by 70%

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Introduction For financial services companies, manual review is one of the biggest operational burdens, especially in areas like KYC (Know Your Customer), fraud detection, and compliance reporting.In this case study, we explore how a mid-sized fintech firm used AWS’s GenAI stack to automate document review, reduce turnaround time, and improve accuracy. Company Snapshot Problem Breakdown

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

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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?

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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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