Giuseppe
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T-Shaped Developer
T-shapedDeep in HTML with broad versatility
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switchangel
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This is an example of serverless document ingestion pipeline that automates the calculation of embeddings, so that they can be used in the context of a Retrieval Augmented Generation application. This sample makes use of Amazon Bedrock to provide access to Amazon Titan Embedding model and LanceDB
Retrieval Augmented Generation, but no servers involved. Backed by S3
A Serverless Monitoring Stack on AWS with Grafana on ECS@Fargate backed by RDS Aurora
FFmpeg 4.2.2 compiled on Amazon Linux2 with LGPL license
Drone plugin for deploying Serverless Framework stacks
Valyu search tools for AWS Bedrock AgentCore and Strands Agents.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
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