Summarize PDF Docs & Extract Information with AI & R | Step-By-Step Tutorial

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With {tidychatmodels} it's pretty easy to set up a chat flow to use AI for summarizing PDFs and extracting key information from it. In this video, I show you how that works. You can find the corresponding blog post at albert-rapp.de...
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Опубликовано:

17 сен 2024

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Комментарии : 17

@rappa753 3 месяца назад

If you enjoyed this video and want to level up your R skills even further, check out my latest video courses: 📍Data Cleaning Master Class at data-cleaning.albert-rapp.de/ 📍Insightful Data Visualizations for "Uncreative" R Users at arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users

@jysushdz7826 6 месяцев назад

THANKS Albert for share this amazing tutorial

@rappa753 6 месяцев назад

You're very welcome :)

@AlexLabuda 6 месяцев назад

Very nice tutorial, thanks for sharing. Excited to check it out!

@jimmahgee 5 месяцев назад

This is super, Albert. At work we have a load of complex documents that get human processed each year. For a hackathon we’re going to see if we can pre-process using LLMs. So this is a super useful starting point for my attempt when the time comes!

@rappa753 5 месяцев назад

Nice, best if luck with the hackathon! Let me know how it went 🤗

@jiazhang803 6 месяцев назад

Excellent! Thanks Albert! May I ask how you pasted different pieces of code so quickly during the tutorial? Looks like magic to me🙈

@rappa753 6 месяцев назад

Thank you 😊 Throw in the whole code chunk and remove it in reverse order. Then just do ctrl-z 😀

@jiazhang803 5 месяцев назад

Haha good trick! thanks@@rappa753

@olexiypukhov-KT 2 месяца назад

I find it easier to just use httr, call the api, and map myself. But to each their own.

@rappa753 2 месяца назад

I can relate. People who already know how to work with APIs might feel like it's more overhead. How do you feel about the {httr2} package? I feel like it has a much nicer syntax than {httr}.

@bubaptak2294 10 дней назад

Thank you for this wonderful video! 😊 But what about data protection and data security? Sensitive data from PDF is forwarded directly to Chat Gpt, correct? (Sorry for the question, I'm just a beginner with R 😬)

@rappa753 9 дней назад

Glad that you like it. You could use a local LLM with the ollama vendor. In the future I want to also add support for Azure. That way, you can host private instances of ChatGPT. That's how a lot of companies use ChatGPT

@bubaptak2294 8 дней назад

@@rappa753 Great, thank you 👌🏻

@hanshellsmark8430 3 месяца назад

Awsome package! Is rate limits handled in the call to the different models? If not, the map function will be difficult to use on larger use cases, right?

@rappa753 3 месяца назад

Glad that you like it. Rate limits are not yet handled. So you might have to go with a classic for loop and put in a bit of pause between iterations