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Generative AI

Home » Generative AI

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 Prompt Management

2025-12-30T14:14:17+00:00

Bookmarks Core Concepts Supported Regions and Models Prerequisites Creating a Prompt Viewing Prompt Information Modifying a Prompt Testing a Prompt Optimizing a Prompt Deployment using Versions Deleting a Prompt Security Best Practices Pricing Amazon Bedrock Prompt Management Cheat Sheet Amazon Bedrock Prompt Management is a centralized prompt management system for generative AI, enabling easy creation, testing, versioning, and deployment of structured prompts while separating prompt engineering from application code. It offers key [...]

Amazon Bedrock Prompt Management2025-12-30T14:14:17+00:00

Amazon Titan

2025-12-30T14:40:34+00:00

Bookmarks Features Use Cases Amazon Titan Text Models Amazon Titan Text Embeddings Models Amazon Titan Multimodal Embeddings G1 Model Amazon Titan Image Generator G1 Models Pricing Amazon Titan Cheat Sheet Amazon Titan models are a family of powerful, general-purpose models pre-trained by AWS on massive datasets. They are designed to be used out of the box or fine-tuned with your own data, allowing you to adapt them for specific tasks without the need to annotate large volumes of training data. The Titan family consists [...]

Amazon Titan2025-12-30T14:40:34+00:00

AWS Agent Squad

2025-12-30T14:03:07+00:00

Bookmarks Key Features Use Cases How AWS Squad Agents Work Agents Supported (Built-in Agents) Core Concepts Pricing AWS Agent Squad Cheat Sheet An open-source framework for orchestrating and routing user queries across multiple specialized AI agents. It uses LLM-based intent classification to dynamically assign tasks to the best-suited agent, such as Amazon Bedrock models, Lex bots, or Lambda functions, while maintaining unified conversation context for seamless interactions.   Key Features Intelligent Intent Classification: Dynamically routes queries to the most suitable agent by analyzing context and content. [...]

AWS Agent Squad2025-12-30T14:03:07+00:00

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers

2025-12-21T16:15:25+00:00

Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an AWS-native system designed around identity, permissions, and retrieval, it becomes much easier to understand. And much more useful. I've spent a lot of time working with Amazon Q while creating video content for Tutorials Dojo courses, and most of what I'll share here comes from that hands-on experience. My goal is [...]

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers2025-12-21T16:15:25+00:00

AWS Vector Databases Explained: Semantic Search and RAG Systems

2025-12-21T03:02:32+00:00

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is a type of database designed to store, index, and efficiently search vector embeddings. These vectors are high-dimensional points that represent meaning.  At its core, a vector [...]

AWS Vector Databases Explained: Semantic Search and RAG Systems2025-12-21T03:02:32+00:00

AWS Certified Generative AI Developer Professional Study Path AIP-C01

2025-11-13T08:31:07+00:00

AWS has just unveiled the newest AWS Certified Generative AI Developer – Professional AIP-C01 certification. This important credential is for developers and AI professionals who want to advance their careers by building, deploying, and improving high-quality generative AI applications on AWS. This certification confirms your skills in using foundation models and integrating generative AI into practical business solutions. This certification highlights a developer’s ability to effectively integrate foundation models, retrieval-augmented generation (RAG) architectures, and vector databases into production-ready AI solutions. While the complete exam guide has not yet been released, AWS has shared key insights through its official certification page [...]

AWS Certified Generative AI Developer Professional Study Path AIP-C012025-11-13T08:31:07+00:00

SynthID Detector: A Guide to Detecting AI-Generated Content

2025-09-17T13:27:38+00:00

SynthID Detector: A Guide to Detecting AI-Generated Content Learn what Google’s SynthID is, how it works, and how to detect AI watermarks in digital content. Artificial intelligence is changing how we create and consume information. A few years ago, AI tools were mostly experimental or niche. Today, they are everywhere—writing essays, generating marketing materials, producing images, composing music, and even creating videos. This growth has blurred the line between human-made and AI-generated content. The possibilities are exciting, but the risks are real. Misinformation, fake media, and academic dishonesty are only some of the issues that emerge when content origins are [...]

SynthID Detector: A Guide to Detecting AI-Generated Content2025-09-17T13:27:38+00:00

The AWS AI Ripple: Compute, Services, and Generative Intelligence

2025-09-12T09:08:43+00:00

In 2006, building AI required a PhD and a million-dollar lab. In 2024, it requires a laptop and a $5 AWS credit. Before, training a neural network was something only elite research labs with specialized hardware could accomplish. Now, anyone with curiosity and an internet connection can spin up AI models rivaling what Fortune 500 companies built just five years ago. That transformation was driven by Amazon Web Services (AWS) through three strategic waves of innovation: Compute Foundation, AI as a Service, and Generative Intelligence. The AWS AI Ripple. While most tech giants built AI for themselves, AWS built the [...]

The AWS AI Ripple: Compute, Services, and Generative Intelligence2025-09-12T09:08:43+00:00

Turning AI Prompts into Real-World Results

2025-08-29T10:51:27+00:00

It all starts with a simple AI prompt. When you have an idea that you want to explore further, one of the easiest ways to keep the ball rolling is to turn that idea into a prompt for an AI tool. This helps clarify your vision, spark new directions, and provide a starting point you can build from. AI doesn’t magically finish your work for you, but it can set you up with a solid foundation that saves time and keeps your momentum going. As an active volunteer in the Philippines’ tech community, I’ve been to numerous events and noticed [...]

Turning AI Prompts into Real-World Results2025-08-29T10:51:27+00:00

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