Streamlit project to scan MRI Scan images for TBC and chat with RAG chatbot around TBC in Indonesia.

AWS Bedrock with python

LLM text processing service working fully on AWS

This repository is about implementing a Question and Answer Chabot using RAG technique with LLM model from AWS Bedrock and LangChain.

This project outlines the development of a cloud-based, serverless, scalable AI-driven knowledge base platform.

This project is designed to generate a blog using AWS Bedrock's language model service, specifically leveraging Meta's LLama model (meta.llama3-70b-instruct-v1:0). The Overall architecture involves AWS Lambda, API Gateway, Bedrock, S3, and Postman as the API client for testing.

Conversational AI assistant powered by Amazon Bedrock

Geração de imagens utilizando Stable Diffusion no AWS Bedrock, executando em função Lambda e armazenando a saída em bucket S3.

Text adventure game powered by LLMs

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.

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.

Generative AI tool with Go + HTMX

Token based authentication to prevent LLM misuse and denial of service attacks.

Using RAG (Retrieval-augmented generation) to provide an LLM with up-to-date news

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.

Useful but simple chatbot utilizing anthropic claude models on aws bedrock

AWS Core for the XP Framework

Classify Atlassian Jira tickets with GenAI on Amazon Bedrock

Easy to use your Swift native functions for function calling with AWSBedrock.