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aman2k4

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startupbaniya

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I am using AWS Textract + LLM (OpenAI/Claude) to read grocery receipts for <https://www.5outapp.com>

So far, I have collected over 500 receipts from around 10 countries with 30 different supermarkets in 5 different languages.

What has worked for me so far is having control over OCR and processing (for formatting/structuring) separately. I don't have the figures to provide a cost structure, but I'm looking for other solutions to improve both speed and accuracy. Also, I need to figure out a way to put a metric around accuracy. I will definitely give this a shot. Thanks a lot.

I live in Europe and have moved to more than 10 cities in my life. It always takes so much time for me to reach the point where I can confidently say that I know a city well. I wish I could make friends with people who have been residents of the city for a longer period. I've tried using Meetup to meet people, but it often full of newcomers.

Cool, i should try it..so far i have been working with rephrasing the work experiences description to fit a job description using GPT3.5 api. Still have not engineered the prompt to get reasonable output.For tools and skills , i have a prefilled dictionary which more or less represent my expertises. task of GPT is select top n skills/tools and put them in final result.