OpenAIWorkshop
workshop materials to build intelligent solutions on Open AI
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Azure OpenAI Service provides REST API access to OpenAI's powerful language models including GPT-3, Codex and Embeddings. Users can easily adapt models for content generation, summarization, semantic search, and natural language to code translation. The workshop covers basics, prompt engineering, common NLP tasks, generative tasks, conversational dialog, and learning methods. It guides users to build applications with PowerApp, query SQL data, create data pipelines, and work with proprietary datasets. Target audience includes Power Users, Software Engineers, Data Scientists, and AI architects and Managers.
README:
Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and 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.
Welcome to the Azure OpenAI workshop! In this workshop, you will learn how to use the Azure OpenAI service to create AI powered solutions. You will get hands-on experience with the latest AI technologies and will learn how to use Azure OpenAI API.
- Open AI basics on LLMs, APIs and Application scenarios.
-
Prompt engineering.
- Common NLP tasks: summarization, classification, entity recognition, sentiment analysis.
- Generative tasks: generic content generation, code generation.
- Conversational dialog.
- Zero shot, few-shot and in-context learning.
- Your first AOAI application with PowerApp.
- Advanced: A natural language query application on SQL data.
- Advanced: An AOAI data pipeline to extract insights from unstructured data.
- Advanced: Make ChatGPT works on your own proprietary dataset.
- All use cases have examples and instructions in a github repo
- Instructor will run through an overview of solutions and steps
- Audience will follow and build the solution in their environment
- Power Users
- Software Engineers
- Data Scientist
- AI architects and Managers
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
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