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2023

Repo to contain all 2023 Learnings

azure-llm-fine-tuning

This hands-on walks you through fine-tuning an open source LLM on Azure and serving the fine-tuned model on Azure. It is intended for Data Scientists and ML engineers who have experience with fine-tuning but are unfamiliar with Azure ML.

azure-openai-demos

Azure Open AI (demos, documentation, accelerators).

digital-twins-samples-csharp

Samples of how to interact with Azure Digital Twins service.

dp-600

Learning resources for DP-600

fabric-samples-healthcare

Great #microsoftfabric Git repo with 220M+ rows using #powerbi Direct Lake

gorilla

Gorilla: An API store for LLMs

kubeapps

A web-based UI for deploying and managing applications in Kubernetes clusters

llmlingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

phi-3minisamples

Discover how phi3-mini, a new series of models from Microsoft, enables deployment of Large Language Models (LLMs) on edge devices and IoT devices. Learn how to use Semantic Kernel, Ollama/LlamaEdge, and ONNX Runtime to access and infer phi3-mini models, and explore the possibilities of generative AI in various application scenarios

test-drive-azure-synapse-with-a-1-click-poc