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OpenAI workshop

Created by: Denise Schlesinger, Limor Levi and Vlad Feigin

This is a forked version

⚡ Build OpenAI applications to search your own data ⚡ This agenda covers a range of topics, from the basics of LLMs and GPT to more advanced topics like prompt engineering and embeddings. The labs provide hands-on experience with OpenAI, including connecting to the platform, creating prompts, and working with embeddings. The final lab even allows participants to ask SQL database questions in English, demonstrating the power of OpenAI in natural language processing.

Agenda

Overview • Presentation - Introduction to Azure OpenAI Deep dive • Presentation - LLMs, Prompts, RAG, Embeddings, Vector Databases Part 3 – Code samples walkthrough • Lab #1 - Connect to OpenAI and ask questions • Lab #2 - Create prompts for summarization, json, tabular answer • Lab #3 - Ask your SQL DB questions in English • Lab #4 - Create embeddings with Faiss and Langchain • Lab #5 - Retrieval Augmented Generation in Azure • Lab #6 - Speech recognition+ OpenAI • Lab #7 - Computer vision + OpenAI

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  • Jupyter Notebook 98.0%
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