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azure-openai-service

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This sample has the full End2End process of creating RAG application with Prompty 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.

  • Updated Nov 6, 2024
  • Jupyter Notebook

In this repository, you will discover how Streamlit, can work seamlessly with Azure OpenAI Service's Embedding and GPT 3.5 models. These tools make it possible to create a user-friendly web application that enables users to ask questions in natural language about a PDF file they have uploaded.

  • Updated Aug 29, 2023
  • Python

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