Microsoft-Cloud-Native

Microsoft Azure OpenAI

Azure OpenAI Service provides REST API access to OpenAI’s powerful language models including the GPT-4, GPT-35-Turbo, and Embeddings model series.

These models can be easily adapted to your specific task including but not limited to:

content generation
summarization
semantic search
natural language to code translation

Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.

General Documentation on Microsoft Learn

AOAI Enterprise Deployment

Overview

Grounding LLM

Grounding is the process of using large language models (LLMs) with information that is use-case specific, relevant, and not available as part of the LLM’s trained knowledge. It is crucial for ensuring the quality, accuracy, and relevance of the generated output. While LLMs come with a vast amount of knowledge already, this knowledge is limited and not tailored to specific use-cases. To obtain accurate and relevant output, we must provide LLMs with the necessary information. In other words, we need to “ground” the models in the context of our specific use-case.

Private ChatGPT

First, I strongly recommand to start with this introduction post: How to create a private ChatGPT with your own data

Chat Copilot Sample Application - This sample allows you to build your own integrated large language model (LLM) chat copilot. The sample is built on Microsoft Semantic Kernel.

AKS 101