Part 1: Is your dataset large enough that you cannot fit in just one prompt to call Open AI models?
If yes, use embeddings! In this video we will create simple web application for a OpenAI-enabled document search to be able to use these language models even over your large data. We Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3 to extract the matching answer for the question.
Do you need any career or technical help? Book a call with me: https://calendly.com/mg_cafe
Part 2: https://youtu.be/RcdqdWEYw2A
Open AI+ Azure = Revolutionize the Way You Do Business
https://youtu.be/JXvSbu12VY4
ChatGPT Came To Azure:
https://youtu.be/Sk5-Tvu0T-4
Repo used in this video:
https://github.com/ruoccofabrizio/azure-open-ai-embeddings-qna
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LET’S CONNECT!
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Join Discord Channel: https://discord.gg/2kcjQFMCr5
You can contact me at:
LinkedIn: https://www.linkedin.com/in/mohammad-ghodratigohar/
Email: [email protected]
Twitter: https://twitter.com/MG_cafe01
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