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Artificial Intelligence

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Defending Against AI-Powered Cyberattacks with AWS

2026-01-28T16:04:02+00:00

The cybersecurity landscape is evolving rapidly because AI-powered cyberattacks are becoming more advanced. In particular, attackers leverage artificial intelligence (AI) to automate phishing, bypass traditional defenses, and target machine learning models. Consequently, these AI-powered cyberattacks are faster, more sophisticated, and harder to detect than ever before. Fortunately, AWS provides a suite of AI-driven security services. Moreover, these services enable organizations to detect, prevent, and respond to modern threats, thereby keeping applications, data, and workloads safe in the cloud.   Understanding AI-Powered Cyberattacks In practice, AI-powered cyberattacks are a new breed of cyberthreats that leverage machine learning and automation to outsmart [...]

Defending Against AI-Powered Cyberattacks with AWS2026-01-28T16:04:02+00:00

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs

2026-01-27T18:52:57+00:00

Large language models (LLMs) are transforming tech, but they also bring new security headaches. The OWASP Top 10 for LLMs highlights the biggest AI risks we should know about. In this guide, we explain each risk in simple terms, give everyday examples, and share quick safety tips. Whether you’re a developer or a casual tech user, this walkthrough will help you understand and avoid the most common AI pitfalls. Prompt Injection What it is: Prompt Injection happens when someone sneaks special instructions into an AI’s input so the model does something unintended. In other words, a user’s query tricks the AI [...]

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs2026-01-27T18:52:57+00:00

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator

2026-01-27T18:51:07+00:00

If you’ve ever struggled to package your ML model in a custom Docker image for SageMaker, the new ml-container-creator tool is here to help. This friendly open-source wizard guides you through building a SageMaker-compatible container without all the usual Docker headaches. It’s like having an assistant that writes your Dockerfile, server code, and config files for you, so you can focus on your model. What is BYOC on SageMaker? BYOC stands for Bring Your Own Container. In SageMaker, BYOC means you supply your own Docker image with everything needed to serve your ML model (the code, libraries, dependencies, etc.). AWS [...]

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator2026-01-27T18:51:07+00:00

SEO is Evolving: A Marketer’s Guide to GEO (Generative Engine Optimization) in 2026

2026-01-24T02:53:21+00:00

The "Blue Link" era is officially fading. In 2026, the digital landscape has reached a tipping point: Gartner predicts a 25% drop in traditional search volume as users migrate to AI-driven "answer engines." For modern brands, ranking #1 on a search results page is no longer the finish line. The new goal? To be the cited source inside the AI's answer. This shift has birthed a new discipline: Generative Engine Optimization (GEO). SEO vs. GEO: Understanding the Paradigm Shift Traditional SEO was built on the logic of crawlers, keywords, and the pursuit of clicks. GEO, however, is built on the [...]

SEO is Evolving: A Marketer’s Guide to GEO (Generative Engine Optimization) in 20262026-01-24T02:53:21+00:00

Beyond the Prompt: Mastering Agentic Workflows and “Vibe Coding” in 2026

2026-01-24T02:25:02+00:00

For the past few years, the multimedia industry has been obsessed with "Generative AI." We spent 2023 and 2024 learning how to write the perfect prompt to get a static image or a flickering 10-second video. But as we move through 2026, the industry has undergone a fundamental shift. We are moving past the era of the chatbot and into the era of Agentic Marketing. Instead of sitting in front of a prompt box asking for a single blog post, modern marketers are now deploying AI Agents—autonomous digital teammates that can research, plan, create, and optimize entire campaigns with minimal [...]

Beyond the Prompt: Mastering Agentic Workflows and “Vibe Coding” in 20262026-01-24T02:25:02+00:00

The Death of the Sample: How Virtual UGC is Transforming Multimedia Marketing

2026-01-23T09:07:07+00:00

In the fast-paced world of digital marketing, User-Generated Content (UGC) has long been the gold standard for trust. Seeing a real person hold a product, test a texture, or share an unscripted testimonial triggers a psychological "social proof" that high-production studio ads simply cannot replicate. However, traditional UGC has always been a logistical nightmare: scouting reliable creators, shipping physical samples across borders, managing complex contracts, and praying the lighting and audio are right. Welcome to 2026. The logistics era is over. We have entered the age of Synthetic UGC. What is Synthetic UGC? Synthetic UGC (or Virtual UGC) refers to [...]

The Death of the Sample: How Virtual UGC is Transforming Multimedia Marketing2026-01-23T09:07:07+00:00

Amazon Bedrock’s LLM-as-a-Judge: Automate AI Evaluation with Nova Lite + Claude

2026-01-23T15:25:15+00:00

Evaluating your LLM’s quality should not cost you too much money or even weeks of your time.  You’re probably  stuck in a limbo of choosing between two options that have their own drawbacks: Automated metrics like BLEU, ROUGE and accuracy scores? Sure, they are quite fast and cheap, but they ultimately fall short in judging real conversations. Since they simply match word patterns, they're not a good fit for open ended responses simply because they can't tell  if they actually understood the question or its tone. As for human reviewers, they do get it right. They captured the context/subtlety and [...]

Amazon Bedrock’s LLM-as-a-Judge: Automate AI Evaluation with Nova Lite + Claude2026-01-23T15:25:15+00:00

Amazon Bedrock Runtime

2026-01-07T13:42:57+00:00

Bookmarks Amazon Bedrock Runtime Actions Key Data Types Inference Concepts Security Pricing Amazon Bedrock Runtime Cheat Sheet Amazon Bedrock Runtime is a high-performance, serverless API that enables developers to make inference requests to Foundation Models (FMs) available in Amazon Bedrock. It serves as the primary runtime interface for building generative AI applications, supporting use cases including text generation, multi-turn conversations, real-time streaming, image generation, embeddings, and more. The API is optimized for low latency and high throughput and provides unified access across multiple model providers.   Amazon Bedrock [...]

Amazon Bedrock Runtime2026-01-07T13:42:57+00:00

Amazon Bedrock API Reference

2026-01-07T13:33:19+00:00

Bookmarks Amazon Bedrock API Reference Common Parameters Amazon Bedrock API Reference Common Errors API Endpoint Structure Best Practices Amazon Bedrock API Reference Sheet Amazon Bedrock API Reference is the master specification for the Amazon Bedrock service. It encompasses protocols, authentication methods, endpoints, common parameters, and error-handling standards used across the entire Bedrock ecosystem (both the Control Plane and the Data Plane).   Amazon Bedrock API Reference Common Parameters Action: (String) Specifies the particular API action to be performed. Version: (String) Indicates the API version used for the request, formatted as [...]

Amazon Bedrock API Reference2026-01-07T13:33:19+00:00

A Beginner’s Guide to the Machine Learning Pipeline on GCP

2026-01-08T13:02:44+00:00

When people hear the term "machine learning," they often imagine complex math, advanced algorithms, or mysterious "AI magic" happening behind the scenes. In reality, machine learning on the cloud is far more practical and structured than it may sound. At its core, an ML pipeline is a series of steps that transform raw data into useful predictions. Think of it like a typical software workflow: You prepare your code You build the application You deploy it Users interact with it An ML pipeline follows the same idea, just with different building blocks. Instead of starting with source code, you begin [...]

A Beginner’s Guide to the Machine Learning Pipeline on GCP2026-01-08T13:02:44+00:00

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