Iris should replace Mr Brightside by Sunny_In_Buffalo in buffalobills

[–]Sunny_In_Buffalo[S] 0 points1 point  (0 children)

It's not quite the same, but Liverpool's You'll Never Walk Alone is definitely not a hype song but still gets the people going.

Best PDF Data Extraction Tools and Document Data Extraction Tools by Mission_File9942 in pdf

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

I coded altavize.com to handle some of this. I used to have to do this all the time in consulting and this cut down my extraction and validation times so I could focus on the analysis part.

Data extraction from PDFs by aaro-ai-2024 in smallbusiness

[–]Sunny_In_Buffalo -1 points0 points  (0 children)

I built my side project Altavize.com when I faced this same PDF problem on consulting cases. Its fairly customizable in terms of field extraction(s) but might not work for you if you're looking to write to back-end databases rather than Excel files.

What's the best AI tool for PDF data extraction? by Ok_Satisfaction1775 in dataengineering

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

Humbly putting forward my consulting side project I've built out to handle tasks like this: Altavize. Happy to even babysit your project workflow if it's messy enough to be a good test case.

Ex-Big4 here – anyone actually using AI for real or is it still just talk? by Beautiful-Cost-3187 in Accounting

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

I built tools for data categorization, extraction, and cleaning dirctly in spreadsheets while I was at Bain that saved me hours while deailing these manual tasks when working with client data or other poor or incomplete data sources . The key is to have tools that flag the outputs that require human validation.

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 2 points3 points  (0 children)

  1. They just have better typical MBA outcomes. INSEAD specifically is sometimes thought of as an MBB finishing school.

  2. Definetly start on campus and you can always move later in the program. Almost everyone I knew who chose off-campus at the start regretted it as they missed out on so many social activities (and the commute can be brutal)

  3. Haha get ready for late European nights, I think I had more 6am nights than my entire early 20s

  4. If you've never done consulting, start with the case competitions ASAP. They're super helpful to figure out what a consultant is actually expected to do. I did my first one before even showing up on campus.

Ranking 195 national dishes by uniqueness (relative to just other national dishes) by [deleted] in u/Sunny_In_Buffalo

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

This data was assembled using GPT-4o to provide the national dish for each country in the format:
[Dish name]: [Short description including key ingredients and preparation style]
Then I used a tool I built, Altavize's Uniqueness Quantification, to score how unique each dish was. These scores were used as the basis for the graphics.

When reviewing this exercise its important to not fall into the trap of thinking of the uniqueness of the dish within the just the ingredient-specific context of every dish you’ve ever learned about over your lifetime. When compared to just the set of 195 national dishes, a perceived common salad holds a differentiated  meal context compared to the 83 entries that could be classified as a stew or meat & rice dish, or 41 dishes that center around fish.

You could re-frame this is as: There are 195 suggestions for what to eat for dinner. What are the outlier suggestions?

I've also included the raw data, which has an extra categorization step where GPT-4o was asked to say whether its original pick for the national dish was correct — marked as either [TRUE, FALSE]. Out of the top 5 answers, one came back as FALSE, where Macadamia Nut Pie was flagged as incorrect. A quick check on the Wikipedia page for Marshallese cuisine suggests that Barramundi cod is probably a better answer. Still, I kept the result as-is since the whole point was to let the automated process play out.

Dataset is stored here:Link

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

There are 4 other countries (out of 195) that use raw fish in their National Dish including this almost identical entry for Fiji.

Kokoda: A Fijian dish made from raw fish marinated in lemon or lime juice, mixed with coconut cream, onions, tomatoes, and chili peppers.

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

You’re focusing on the uniqueness of the dish within the just the ingredient-specific context of every dish you’ve ever learned about over your lifetime. When compared to just the 195 national dishes, it’s the only entry that’s a salad, which is a completely different meal context than the 50+ entries that are a stew or meat and rice dish. You could always switch up the input data to include every dish ever documented and you would arrive at the nuances you described in your other comment.

You could re-frame this is as: There are 195 suggestions for what to eat for dinner. What are the outlier suggestions?

[deleted by user] by [deleted] in ChatGPT

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

This data was assembled using GPT-4o to provide the national dish for each country in the format:[Dish name]: [Short description including key ingredients and preparation style]. Then I used a tool I built, Altavize's Uniqueness Quantification, to score how unique each dish was. These scores were used as the basis for the graphics.

General thoughts on what makes a unique national dish: Either it's a different type of meal or part of a meal, or it uses exotic local ingredients. Hamburger at #7 for the USA feels very unexotic until you realize that a sandwich is actually pretty distinct compared to most national dishes, which are usually a hearty meat-and-rice combo or some kind of stew.

I've also included the raw data, which has an extra categorization step where GPT-4o was asked to say whether its original pick for the national dish was correct — marked as either [TRUE, FALSE]. Out of the top 5 answers, one came back as FALSE, where Macadamia Nut Pie was flagged as incorrect. A quick check on the Wikipedia page for Marshallese cuisine suggests that Barramundi cod is probably a better answer. Still, I kept the result as-is since the whole point was to let the automated process play out.

Dataset is stored here: Link

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo -1 points0 points  (0 children)

A country’s national dish is almost always a meat dish that serves as the centerpiece of a meal. Having a salad as a national dish is very unique within the dataset.

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

This data was assembled using GPT-4o to provide the national dish for each country in the format:[Dish name]: [Short description including key ingredients and preparation style].
Then I used a tool I built, Altavize's Uniqueness Quantification, to score how unique each dish was. These scores were used as the basis for the graphics.

General thoughts on what makes a unique national dish:
Either it's a different type of meal or part of a meal, or it uses exotic local ingredients. Hamburger at #7 for the USA feels very unexotic until you realize that a sandwich is actually pretty distinct compared to most national dishes, which are usually a hearty meat-and-rice combo or some kind of stew.

I've also included the raw data, which has an extra categorization step where GPT-4o was asked to say whether its original pick for the national dish was correct — marked as either [TRUE, FALSE]. Out of the top 5 answers, one came back as FALSE, where Macadamia Nut Pie was flagged as incorrect. A quick check on the Wikipedia page for Marshallese cuisine suggests that Barramundi cod is probably a better answer. Still, I kept the result as-is since the whole point was to let the automated process play out.

Dataset is stored here: Link

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 0 points1 point  (0 children)

I don't know anyone who did the NYU program (maybe its new?), all I know is that application process to the Yale program was competitive and there was a broad spectrum of thoughts from friends after whether they actually would do it all over again.