Always so happy to see a tutorial with actual substance.
So much on LLMs lately is mostly blog spam for SEO but this actually is information dense and practical. Definitely bookmarking this for tonight.
Also really happy to see a bonus section on pulling in data from third party websites. I think this is where LLMs get really interesting. Not only is data much easier to query with these new models, its also orders of magnitude easier to ingest from traditionally malformated sources.
You know what, reading it, this is a very fair callout. Im sorry.
Last week I had seen a draft of this and thought to myself all these same things.
It was a well written tutorial, and that it was exactly the type of format I wouldve hopped for as a engineer. To the point, with a lot of examples.
It really is the same style I like to write in. So when I saw we were starting to share this I wanted to support what I thought was great work and writing.
But it was really unfair not to put a disclaimer on that I do work here.
Honestly, really sorry.
Also I owe Michel an apology because I dont think he realized either.
Hey Kaveet, I dont know who have all seen the original post but I know you have so I wanted to say I'm sorry. This was my fault. I wanted to support good work as a member of the engineering community but I shouldve added a disclaimer about employment.
You're right, LLMs are really good at extracting and structuring data from third party sources. I've been working on a "Zapier for data extraction" for this reason: https://kadoa.com
So much on LLMs lately is mostly blog spam for SEO but this actually is information dense and practical. Definitely bookmarking this for tonight.
Also really happy to see a bonus section on pulling in data from third party websites. I think this is where LLMs get really interesting. Not only is data much easier to query with these new models, its also orders of magnitude easier to ingest from traditionally malformated sources.