HeZhang33
Microsoft AI Cloud Solution Architect, Azure OpenAI / LLM Practitioner, PhD in Machine Learning
MicrosoftChina, Shanghai
Pinned Repositories
AI-in-a-Box
autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
Azure-OpenAI-Use-Cases-And-Lab-Demos
This repository contains python lab demos using Azure OpenAI Service.
ccslurm4ai
gen-cv
Vision AI Solution Accelerator
LLM-Fine-Tuning-Azure
A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure.
llmops-promptflow-template
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
llmops-workshop
Learn how to build solutions with Large Language Models.
mlops-templates
YOLOv5-YOLOv6-YOLOv7-YOLOv8-Object-Detection-Models-For-Personal-Protective-Equipment-Detection
This repository implements the cutting-edge YOLO Object Detection Models until April 2023 (YOLOv5, YOLOv6, YOLOv7, and YOLOv8) for safety image datasets (Masks and Helmet).
HeZhang33's Repositories
HeZhang33/LLM-Fine-Tuning-Azure
A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure.
HeZhang33/Azure-OpenAI-Use-Cases-And-Lab-Demos
This repository contains python lab demos using Azure OpenAI Service.
HeZhang33/YOLOv5-YOLOv6-YOLOv7-YOLOv8-Object-Detection-Models-For-Personal-Protective-Equipment-Detection
This repository implements the cutting-edge YOLO Object Detection Models until April 2023 (YOLOv5, YOLOv6, YOLOv7, and YOLOv8) for safety image datasets (Masks and Helmet).
HeZhang33/AI-in-a-Box
HeZhang33/autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
HeZhang33/ccslurm4ai
HeZhang33/gen-cv
Vision AI Solution Accelerator
HeZhang33/llmops-promptflow-template
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
HeZhang33/llmops-workshop
Learn how to build solutions with Large Language Models.
HeZhang33/mlops-templates
HeZhang33/PyTorch-Learning
Learning PyTorch For Deep Learning Computer Vision Applications
HeZhang33/streamlit-webapp-hezhang
A slight modification of the repo: https://github.com/benalexkeen/streamlit-azure-app-services