The article explains how to deploy quantized open-source LLMs like Llama 3 8B directly within AWS Lambda containers using llama.cpp, enabling serverless, auto-scaling inference for high-volume, low-re…
A European digital media publisher built a serverless evaluation pipeline on AWS to determine which foundation model on Amazon Bedrock produces the highest-quality podcast-style summaries from news ar…
To implement retrieval-augmented generation (RAG) using the pgvector extension within an existing PostgreSQL database, combined with Amazon Bedrock's Titan embedding model and Claude for answer genera…
Architecture of the AWS Briefing Agent, a personalized assistant built on Amazon Bedrock that uses Retrieval-Augmented Generation (RAG) to answer natural language queries about AWS releases. The syste…