LLM text processing service working fully on AWS
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Updated
Jun 5, 2024 - JavaScript
LLM text processing service working fully on AWS
CodeSmith is a serverless application built within the AWS ecosystem. It utilizes AWS Lambda for executing the code generation logic, Amazon Bedrock for accessing the meta.llama3-70b-instruct-v1:0 model to generate code based on user requests, and Amazon S3 for storing the generated code.
Simple script for using Stable Diffusion XL text-to-image on AWS Bedrock
A generative AI API using Amazon AWS Bedrock supporting text and image generation.
Geração de imagens utilizando Stable Diffusion no AWS Bedrock, executando em função Lambda e armazenando a saída em bucket S3.
The "Ask a Virtual Scientist" (AVS) app is a comprehensive AI-powered interactive tool designed to make learning about science more engaging and accessible for online users. The app provides informative responses to scientific queries based on existing data/information.
This repo explains how to setup a RAG project within AWS Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, along with a broad set of capabilities we need to build generative AI applications with security, privacy, and responsible AI.
Application that generates automatic responses to Amazon Lex messages using generative AI.
Level 101 experiments with AWS Bedrock on top of Lambda Functions.
Invoke AWS Bedrock LLM model Using AWS SDK for JavaScript
About How to build a Q&A system powered by LLM/RAG
A deeplearning.ai's course "Serverless LLM Apps Amazon Bedrock"
AWS Bedrock setup with CDK, also includes a Streamlit page to retrieve information through a chat-like interface
🔀 Bedrock Proxy Endpoint ⇢ Spin up your own custom OpenAI API server endpoint for easy AWS Bedrock inference (using standard baseUrl, and apiKey params)
Demo app for virtual insurance assistant using AWS Bedrock
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