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Name: Julia Heseltine

Type: User

Company: Microsoft

Location: Chicago

Julia Heseltine's Projects

azure-synapse-retail-recommender-solution-accelerator

This Solution Accelerator is an end-to-end example on how to enable personalized customer experiences for retail scenarios by leveraging Azure Synapse Analytics, Azure Cosmos DB, Azure Machine Learning Services, Azure Data Lake Storage

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

azuremlstarters

Starter scripts for building and Azure ML service and deployment pipeline

batchpipeline-example

A mini POC accelerator for Kubeflow to Azure ML (used for a batch pipeline experiment in the future!)

contoso-chat

This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

gpt-azure-search-engine

Azure Cognitive Search + Azure OpenAI Accelerator

retail-recommender

Recommender System in a docker image as API, for Retailers

retail-recommender-brazil-example

Practicing retail recommender POC for example Brazil data

triton-example

Deploying managed online endpoints with GPU's. Running this example to showcase how to deploy using GPU's and Triton (following this tutorial: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-with-triton?tabs=azure-cli%2Cendpoint)

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