This uses GPT-3 to find a word "halfway" between two others and it's built with Elixir, Phoenix, and Ash (https://ash-hq.org/) and is deployed on Fly.io.
The pre-computer version of this is H. G. Burger's Wordtree [1]. It is an absolutely fascinating one-man project to "binomialize" the entire English vocabulary. It is worth owning just to read the bizarre and fascinating series of prefaces, in several of which Mr. Burger details his strongly held beliefs of a strong copyright system.
I'm curious about the prompt you used, if you're willing to share (I'm interested in blend words, which this is somewhat related, but not quite - these are blended in a semantic sense, not textual)
Comments
This uses GPT-3 to find a word "halfway" between two others and it's built with Elixir, Phoenix, and Ash (https://ash-hq.org/) and is deployed on Fly.io.
Some fun ones:
- imagination and vacation -> fantasize
- enthusiasm and zeal -> fervor
- angry and hungry -> famished
- spoon and fork -> spork
The pre-computer version of this is H. G. Burger's Wordtree [1]. It is an absolutely fascinating one-man project to "binomialize" the entire English vocabulary. It is worth owning just to read the bizarre and fascinating series of prefaces, in several of which Mr. Burger details his strongly held beliefs of a strong copyright system.
[1] https://www.amazon.com/Wordtree-Transitive-Cladistic-Physica...
but also:
test and spoon -> spork
fork and knife -> spoon
fork and sword -> spoon
knife and sword -> dagger <- a good one
test and knife -> jest
test and sword -> quill
Are you using embeddings, or a prompt where you ask GPT-3 to find a word between other words?
I tried averaging embeddings at first but a GPT-3 prompt gave more interesting results!
I'm curious about the prompt you used, if you're willing to share (I'm interested in blend words, which this is somewhat related, but not quite - these are blended in a semantic sense, not textual)