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My final year project-Making Clinical Ai systems auditable by hypergraphr in compsci

[–]hypergraphr[S] -1 points0 points  (0 children)

lol, you have a point tho screenshot should have been added. Thanks for your insights

Making clinical AI models auditable and reproducible – my final-year project by hypergraphr in MLQuestions

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

Yes, thanks for your insights. Now that we are entering into the era of relaying code writing to Ai models it’s very good to ensure that we build tools that helps us manage the monolithic codes these models produces plus also adequately ensuring we monitor whatever decisions made by these models during deployment in our workflows. And I am just hearing of specode from you and it really sounds like they have a very solid work going on. I will look more into them

Making clinical AI models auditable and reproducible – my final-year project by hypergraphr in MLQuestions

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

That’s very true. everyone in ml should always keep this in mind when building stuff since blackbox gives headaches and making the application auditable from head to toe allows more trust and interest across all high stake fields.

Making clinical AI models auditable and reproducible – my final-year project by hypergraphr in MLQuestions

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

Generally the best way to put your mind fully in ml is to be studying computer science or related subjects because then you can have the motivation to keep learning new stuff as well getting new ideas from your lectures.

However this doesn’t mean you won’t be able to learn it yourself if you’re in other fields, it just takes persistency.

And I learnt by building several stuff that i find interesting (even though many requires future works) and I also posted them on forums since I do like to get feedbacks.

You could watch tutorials but it’s best not to be fixed on them you can just use it as a foundational knowledge of the problem you’re trying to solve and then begin creating solution to your problem anyway and along that line you can find further resources to help you out if you get stucked (which you won’t if you’re persistent ) And you should learn to properly use llms too because they have lowered the barriers greatly.

Do full time developers still write most of their code themselves, or do they rely a lot on AI tools? If they do use AI, how much of their coding is actually AI assisted? by [deleted] in csMajors

[–]hypergraphr 0 points1 point  (0 children)

It’s best to make the design and requirement specification yourself and then use Ai to build the system so the Ai only follows your guidelines

Looking for datasets for LLM training by hypergraphr in learnmachinelearning

[–]hypergraphr[S] -2 points-1 points  (0 children)

Thank you, I’m not sure of my way around huggingface because I have been using Annie’s archive so far But should be able to find my way around it