3 ms·
I try some LLM on my notes and well... They was unable to give me insights that are hard to spot, like follow the flaw of notes identifying patterns, find simil
by kkfx 3y ago
I try some LLM on my notes and well... They was unable to give me insights that are hard to spot, like follow the flaw of notes identifying patterns, find similar notes from the past and so on. In ALL cases classic tags/riprgrep full-text search was far quicker and equally or more effective.
Long story short: LLMs might be useful on hyper big mass of information, like a new kind of search engine that try do achieve a semantic goal mimicking it. But not more than that IMVHO. Marginally LLMs might help computer-illiterate to manage their files, seen https://www.theverge.com/22684730/students-file-folder-directory-structure-education-gen-z https://www.theverge.com/22684730/students-file-folder-direc... but I doubt they can go any further for the next 5+ years at least.
- theGnuMe 3y agoLLMs might help my disorganized approach to files...
- lxgr 3y agoThey've been very useful in quickly answering common questions using a too-large-to-manually-scan knowledge base in my experience at my job, and I don't consider myself or my colleagues "computer-illiterate".
- kkfx 3y agoThat's follow the "might be useful as a new kind of search engine", though it might be a sign of an a bit messy KB. The issue of potential hallucinations however is still there so even such usage, a different search engine, demand extra attention. It's not a free critic to those who have designed, implemented and trained LLMs, it's just the observation that practical usage is far less than the advertised one and it's still not much good. It's still an advancement, a good thing to have, the start of a revolution, but still far from being what many dreams.