Wikipedia link race: choosing among thousands of options
The model chooses the next step from hundreds or thousands of links, demonstrating fast decisions with constrained outputs. The post includes a 4:04 video.
Jev unlocks cheap classifier AI use cases
The author shares that with Parallel's web search and AI classifier, they can quickly answer questions like 'Is Fable 5.5 available now?', praising Jev for making classifier AI use cases cheaper.
Jev really unlocked a whole new era of cheap classifier AI use cases. With parallel's web search + their AI classifier, I can finally ask "Is Fable 5.5 now available?" and get a quick answer without hacking many different APIs together. Very cool! #ParallelPartner
· 47 likesOpen on X
More like this
Semantic Querying Use Case with Jev and TypeSafe AI
Nathan LeClaire shares a semantic querying use case for Jev and TypeSafe AI, noting people have only scratched the surface.
Building a live BS meter for the Trump vs Kamala debate with Jev
The author used Jev to run a live BS meter on every sentence of the Trump vs Kamala debate, with 5 yes/no questions per candidate, totaling 1,191 Jev calls, 1.18M tokens, 415 ms median latency, and $0.0497 total cost.
