Implementing Multi-Modal RAG Systems
Large language models (LLMs) have evolved and permeated our lives so much and so quickly that many we have become dependent on them in...
Prompt Engineering Patterns for Successful RAG Implementations
You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick...
Understanding RAG Part V: Managing Context Length
Be sure to check out the previous articles in this series: •
How Formula 1® uses generative AI to accelerate race-day issue resolution
Formula 1® (F1) races are high-stakes affairs where operational efficiency is paramount. During these live events, F1 IT engineers must triage critical issues across...
Using Amazon Rekognition to improve bicycle safety
Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in...
Build a dynamic, role-based AI agent using Amazon Bedrock inline agents
AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are...
Use language embeddings for zero-shot classification and semantic search with Amazon...
In this post, we discuss what embeddings are, show how to practically use language embeddings, and explore how to use them to add functionality...
Physicists Tap James Web Space Telescope to Track New Asteroids and...
Asteroids were responsible for extinction events hundreds of millions of years ago on Earth, providing no shortage of doomsday film plots for Hollywood.
But researchers...
How Scaling Laws Drive Smarter, More Powerful AI
Just as there are widely understood empirical laws of nature — for example, what goes up must come down, or every action has an...
