AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS
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Updated
Sep 26, 2024 - JavaScript
AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.
Automatic AI-powered test suite generator
A multimodal chat interface with many tools.
This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.
Develop an AI application utilizing Streamlit, AWS's Bedrock, and Anthropic's Claude2 model.
This repository contains Node.js examples to get started with the Amazon Bedrock service.
Hosting Langfuse on Amazon ECS with Fargate using CDK Python
Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.
Exemplos para utilização de plataforma de Machine Learning no modelo SaaS como alternativa para aceleração de funcionalidades baseadas em AI em produtos digitais.
Spreadsheet alternative for managing Job Applications
🔀 Bedrock Proxy Endpoint ⇢ Spin up your own custom OpenAI API server endpoint for easy AWS Bedrock inference (using standard baseUrl, and apiKey params)
Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)
AI-Enhanced Teaching Assistant: Bridging Instructor Knowledge and Web Intelligence
Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.
Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis
LLM text processing service working fully on AWS
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