amazon-bedrock-samples
amazon-bedrock-samples copied to clipboard
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Currently, the instructions are only in this image:  This forces anyone who uses your sample to type the instructions manually
Bumps [langchain](https://github.com/langchain-ai/langchain) from 0.0.323 to 0.0.329. Release notes Sourced from langchain's releases. v0.0.329 What's Changed Add Runnable.with_listeners() by @nfcampos in langchain-ai/langchain#12549 Improve Runnable type inference for input_schemas by @nfcampos in...
*Issue #, if available:* *Description of changes:* The PR will add a use case example for bedrock marketing agent. By submitting this pull request, I confirm that you can use,...
*Issue #, if available:* *Description of changes:* 1) Follow least privilege principle to update yaml file 2) Add notebook for ConverseAPI call 3) Update typo in KB notebook By submitting...
*Issue #, if available:* *Description of changes:* Added Solution ID to CFN for deployment tracking. AWS Solutions Library - https://aws.amazon.com/solutions/guidance/automating-tasks-using-agents-for-amazon-bedrock/ By submitting this pull request, I confirm that you can...
*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
Update 04_customized-rag-retreive to correct the package imports *Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this...
*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
FLAN-T5-Large Bedrock Custom Model Import example submitted because there is not an example of this currently. Fine Tuned locally using HuggingFace transformers Seq2Seq. Notebook example was run on Sagemaker (instance...
*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.