AI Agent Skills

AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest re…

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

A Python package to assess and improve fairness of machine learning models.

A library for training and deploying machine learning models on Amazon SageMaker

Open-source inference server and production cluster for all the models your agent needs.

Interpretability and explainability of data and machine learning models

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models