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Last quarter, I started extracting datasets from published scientific papers to automate systematic reviews at Revv Research. I was surprised by the number of errors in published reviews — and this is at the very end of the pipeline, just copying from already published papers.
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No matter how much tooling we wrap around them, LLMs are fundamentally stateless functions, incapable of maintaining memory.
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** this blog is still a work in progress - thanks to Quang-Vinh Do for the edits **
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I graduated as valedictorian from the University of Ottawa with a 10.0 CGPA. Along the way, I learned a thing or two about how the system works. As a thought experiment, here’s how one should go about a uOttawa degree if the sole goal is to optimize for a perfect GPA. While some of these ideas are specific to the Faculty of Engineering, many apply to the university in general.
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I would love for that donkey to be real one day.