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Critical thinking
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this post was submitted on 19 May 2025
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Microblog Memes
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It still scrambles things, removes context, and can overlook important things when it summarizes.
That is why the "review" part of the comment you reply to is so important.
Yeah thats why you give it examples of how to summarize. But im machine learning engineer so maybe it helps that I know how to use it as a tool.
It doesn't know what things are key points that make or break a diagnosis and what is just ancillary information. There's no way for it to know unless you already know and tell it that, at which point, why bother?
You can tell it because what you're learning has already been learned. You are not the first person to learn it. Just quickly show it those examples from previous text or tell it what should be important based on how your professor tests you.
These are not hard things to do. Its auto complete, show it how to teach you.
In order to tell it what is important, you would have to read the material to begin with. Also, the tests we took in class were in preparation for the board exams which can ask you about literally anything in medicine that you are expected to know. The amount of information involved here and the amount of details in the text that are important basically necessitate reading the text yourself and knowing how the information in that text relates to everything else you've read and learned.
Trying to get the LLM to spit out an actually useful summary would be more time-consuming than just doing the reading to begin with.
Off topic since you mentioned you are an ML engineer.
How hard is it to train a GPT at home with limited resources.
Example I have a custom use cases and limited data, I am a software developer proficient in python but my experience comes from REST frameworks and Web development
It would be great if you guide me on training at a small scale locally.
Any guides or resources would be really helpful.
I am basically planning hobby projects where I can train on my own data such as my chats with others and then do functions. Like I own a small buisness and we take a lot of orders on WhatsApp, like 100 active chats per month with each chat having 50-500 messages. It might be small data for LLM but I want to explore the capabilities.
I saw there are many ways like fine tuning and one shot models and etc but I didn't find a good resource that actually explains how to do things.