4 ms·
I suspect that at the base level of knowledge are chunks of concept, let's call them nodes. A node would appear at the weighted center of all the words that are
by mikewarot 4y ago
I suspect that at the base level of knowledge are chunks of concept, let's call them nodes. A node would appear at the weighted center of all the words that are synonyms for that concept.
Each word has a direction from that node, and if you use words together, there's a vector between them, a direction.
Like the recent thread[1] about autoencoders that could find very low dimensional representations of lava lamps, and other chaotic systems, I think that's how transformers and word2vec operate.
Also recall that someone had built a tool[2] to find notes that share n-grams automatically in the background, this is a similar idea.
1 - https://news.ycombinator.com/item?id=32294403
2 - https://news.ycombinator.com/item?id=32282260
- solarmist 4y agoA good way to think about knowledge modeling is from [1]. The base element of knowledge there is the knowledge component. [1] http://pact.cs.cmu.edu/pubs/PSLC-Theory-Framework-Tech-Rep.pdf http://pact.cs.cmu.edu/pubs/PSLC-Theory-Framework-Tech-Rep.p...