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aws aiml demo

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1.0.0

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Ai-ML and generative AI services in AWS: demos to learn in a Jupyter Notebook.

Diagram Translator Chatbot App "

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? Note: Some services are in the free layer and others do not, be sure to review the values involved before starting -> Link

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Start creating the environment

 python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Generative ai within reach of an API call

In these notebook you can use Genai magic from a couple of command lines thanks to the power of Amazon Bedrock.

Generative AI: Introduction to Prompt Engineering

With a well -designed prompt, previously trained capabilities of the model can be used to attend novel consultations within its scope.

Learn as here

Workshop code? Building with Amazon Bedrock and Langchain

Download the ACA code:

 curl 'https://static.us-east-1.prod.workshops.aws/public/78167ddb-3840-45eb-b24d-20b3a410f64a/assets/workshop.zip' --output workshop.zip
unzip workshop.zip

Follow the steps here :? Building with Amazon Bedrock and Langchain

Find more workshops to learn

Practical notebooks to learn to use some of AIML's services

Detect entities and feelings in a document? ?

In this notebook you can extract text from an image, identify the feelings and also the identities mentioned in the text.

Polly speaks ?:

In this notebook you can identify the language of an admitted trext, translate it to another language and replace an audio with the pronunciation of the destination language.

Generates subtitles to a video and translated them into another language ⏯️?

In this notebook you will learn to extract subjects from a video and generate new ones in another language.

Video Moderator ⏯️.

In this notebook you will learn to create a video content moderator.

Advanced: Create an anime recommender

This is a blog series where you guide you to create an anime recommendations application, using a service allows developers to quickly create and display cured recommendations and segmentation of intelligent user on a scale via Machine Learning (ML) .. without being a specialist in ML.