Summarize PDF Docs & Extract Information with AI & R | Step-By-Step Tutorial
ฝัง
- เผยแพร่เมื่อ 6 ก.ย. 2024
- DESCRIPTION AND CODE
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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THANKS Albert for share this amazing tutorial
You're very welcome :)
Very nice tutorial, thanks for sharing. Excited to check it out!
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!
Nice, best if luck with the hackathon! Let me know how it went 🤗
Excellent! Thanks Albert! May I ask how you pasted different pieces of code so quickly during the tutorial? Looks like magic to me🙈
Thank you 😊 Throw in the whole code chunk and remove it in reverse order. Then just do ctrl-z 😀
Haha good trick! thanks@@rappa753
I find it easier to just use httr, call the api, and map myself. But to each their own.
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}.
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?
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
Has anyone set this up using local models and Ollama negating the need for api keys?