Explore The Torq▸

Contact Us
For Writers

Generative AI

OpenAI & AWS: A Game‑Changing Infrastructure Deal 

Leave a Comment / AWS Marketplace /

How a multi‑year, multi‑billion‑dollar cloud partnership signals a new era in frontier AI  Setting the scene  In early November 2025, OpenAI and AWS announced a major multi‑year compute‑infrastructure partnership. According to multiple sources, the deal is reportedly valued at around US $38 billion. Under the agreement, OpenAI gains immediate access to AWS’s high‑end infrastructure (including hundreds of thousands of NVIDIA GPUs, and […]

OpenAI & AWS: A Game‑Changing Infrastructure Deal  Read More »

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

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

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

Leave a Comment / Gen AI & AWS GenAI Stack /

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

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

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

Leave a Comment / Gen AI & AWS GenAI Stack /

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

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

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

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

How to Automate Business Workflows with AWS Step Functions + Lambda + GenAI

Leave a Comment / Automation with AI Series /

Introduction In the age of GenAI, automation is no longer just about replacing human effort—it’s about enhancing decision-making, injecting intelligence into repetitive workflows, and freeing teams from manual bottlenecks.With AWS Step Functions + Lambda + Bedrock, you can build AI-powered automation pipelines that are not only event-driven but also context-aware, scalable, and enterprise-secure.This post walks

How to Automate Business Workflows with AWS Step Functions + Lambda + GenAI Read More »

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

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

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 »

How to Build Your First Custom LLM Application on AWS

Leave a Comment / Gen AI & AWS GenAI Stack /

Introduction LLMs aren’t just for chatbots anymore.From intelligent agents to contract review to personalized summaries, custom LLM applications are reshaping workflows across every industry.But building one on AWS doesn’t have to be overwhelming. In this post, we’ll walk you through a step-by-step architecture to launch your first custom LLM app using AWS-native tools. Step 1:

How to Build Your First Custom LLM Application on AWS Read More »

Why Vector Databases Matter for GenAI (and Where AWS Fits)

Leave a Comment / Gen AI & AWS GenAI Stack /

Introduction LLMs are powerful, but they’re also forgetful.Out of the box, they have no knowledge of your PDFs, chat logs, or product catalog. That’s where vector databases come in.Vector databases are the memory layer of GenAI, especially for Retrieval-Augmented Generation (RAG) applications.This post explains what vector DBs are, why they matter, and which AWS-native (or

Why Vector Databases Matter for GenAI (and Where AWS Fits) Read More »

Not Able To Decide?

Drop us your email and we will help you finalize a plan!

Contact

The Scribe Company
SCO 32-33-34
3rd, 4th, 5th Floor
Sector - 17
Chandigarh

Email
info@thescribe.co

Services

Social Links

Facebook Twitter Youtube

© 2023 | TheScribe

Scroll to Top