openai  by Azure-Samples

Azure OpenAI Service samples and resources

created 2 years ago
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Project Summary

This repository provides code samples and resources for the Azure OpenAI Service, targeting developers and researchers looking to leverage powerful language models like GPT-4 and GPT-3.5 Turbo for tasks such as content generation, summarization, and semantic search within the Azure cloud ecosystem. It aims to accelerate adoption by offering end-to-end solutions and basic code snippets.

How It Works

The Azure OpenAI Service offers REST API access to OpenAI's language models, integrated with Azure's enterprise-grade security and networking. Samples demonstrate "in-context learning" where models perform tasks based on natural language instructions and examples provided within the prompt, rather than requiring model retraining. This approach, including few-shot, one-shot, and zero-shot learning, allows for task adaptation with minimal data.

Quick Start & Requirements

Highlighted Details

  • Features end-to-end solution accelerators for specific use cases like eCommerce copilot with multimodal capabilities and advanced RAG for financial data.
  • Includes basic samples and snippets for integrating Azure OpenAI functionality into custom applications.
  • Demonstrates various "in-context learning" techniques (few-shot, one-shot, zero-shot) for task adaptation.
  • Provides access to OpenAI models including GPT-4 (preview), GPT-3 series, Codex, and Embeddings models.

Maintenance & Community

  • This repository is a work in progress and will be updated frequently.
  • Links to responsible AI guidelines and Microsoft's trademark policies are provided.

Licensing & Compatibility

  • The repository itself is not explicitly licensed in the README. Code samples may be subject to Azure's terms of service.
  • Compatibility is with Azure OpenAI Service. Commercial use is subject to Azure's terms.

Limitations & Caveats

Access to Azure OpenAI Service models, particularly GPT-4, is currently limited and requires an application process due to high demand and responsible AI considerations. The repository is noted as a work in progress, implying potential for frequent changes and instability.

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1 month ago

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