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Benedict Nartey-Tokoli's Projects

amazon-bedrock-samples icon amazon-bedrock-samples

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

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

aws-cdk icon aws-cdk

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

dspy icon dspy

DSPy: The framework for programming with foundation models

electrodb icon electrodb

A DynamoDB library to ease the use of modeling complex hierarchical relationships and implementing a Single Table Design while keeping your query code readable.

guidance-for-dynamic-game-npc-dialogue-on-aws icon guidance-for-dynamic-game-npc-dialogue-on-aws

This guidance helps game developers automate the process of creating a non-player character (NPC) for their games, and associated infrastructure, that leverage Unreal Engine MetaHuman, Large Language Models Operations (LLMOps), and generative AI to improve NPC conversational skills.

improving-forecast-accuracy-with-machine-learning icon improving-forecast-accuracy-with-machine-learning

The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The solution automatically produces forecasts and generates visualization dashboards for Amazon QuickSight or Amazon SageMaker Jupyter Notebooks—providing a quick, easy, drag-and-drop interface that displays time ser

langchain icon langchain

🦜🔗 Build context-aware reasoning applications

mmfashion icon mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

opensearch icon opensearch

🔎 Open source distributed and RESTful search engine.

pgvector icon pgvector

Open-source vector similarity search for Postgres

retail-demo-store icon retail-demo-store

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

streaming-data-solution-for-amazon-kinesis-and-amazon-msk icon streaming-data-solution-for-amazon-kinesis-and-amazon-msk

A solutions that automatically configures the AWS services necessary to easily capture, store, process, and deliver streaming data. This solution helps you solve for real-time streaming use cases like capturing high volume application logs, analyzing clickstream data, continuously delivering to a data lake, and more.

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