Question: Apply a large language model by Producing LLM - based solutions in Microsoft Power Automate Extract: shoe _ agent _ name ( this is Jim

Apply a large language model by Producing LLM-based solutions in Microsoft Power Automate
Extract:
shoe_agent_name (this is Jim)
request_type (this is "Order")
shoe_brand, shoe_model, shoe_quantity
customer_name
customer_street
customer_city
customer_state
customer_zip
customer_phone
In addition, you'll assign a shoe_price for each shoe, calculate the shoe_subtotal for each shoe, and then the grand_total.
Use one or more prompts to accomplish this extraction.
Then, save each line item in an Excel worksheet.
FROM THE EMAIL TEXT BELOW
Hey Jim,
I'd like to order some new shoes. Please ship the following:
Nike Air Jordan I -2 pair
Converse All-Star -10 pair
New Balance 990-1 pair
Nike Zoom Fly 5 men's red -2 pair
Please provide sub-totals and grand total cost.
Thanks.
Lance Gentry
123 Main St.
Chelsea, MI 48109
248-229-2229
 Apply a large language model by Producing LLM-based solutions in Microsoft

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