Conversational AI assistant powered by Amazon Bedrock
-
Updated
Jun 21, 2024 - Python
Conversational AI assistant powered by Amazon Bedrock
LLM text processing service working fully on AWS
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.
Question Answering application with Amazon Bedrock and Amazon OpenSearch Service.
Demo for AWS Textextract and Bedrock
OpenAI and ChatGPT meet .Net
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.
Streamlit project to scan MRI Scan images for TBC and chat with RAG chatbot around TBC in Indonesia.
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.
This repo explains how to setup a RAG project within AWS Bedrock
Application that generates automatic responses to Amazon Lex messages using generative AI.
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon Kendra
translation-automate demonstrates how you can automate Translations of your text, json data, text files and many more using aws bedrock.
DocChat - Chat with a PDF using GenAI Capabilities.
Add a description, image, and links to the aws-bedrock topic page so that developers can more easily learn about it.
To associate your repository with the aws-bedrock topic, visit your repo's landing page and select "manage topics."