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In this video tutorial, I have used natural language processing (NLP) to automate tasks in Airtable. We'll be using GPT-3 to do so.

Leverage Airtable Automation lets you quickly and intuitively define the “logic” that compels Airtable to do something in the background.



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Adapt Airtable to the specific workflow of your team. A set of conditions can be detected by creating triggers. Secured. The Kanban Views. Views of calendars. Pro and Free Plans. rely on 200K Teams. Friendly to users. Over 200 templates. over 350 app integrations Project...

Nice video. I think the ability to extract the value of LLMs requires that we integrate Airtable data using embeddings, which make it possible for rows and even cells to have meaning. A general approach is exposed here...

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