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.
AI Community Buzzing About Jev, Author Explores Its Applications via Learning Mode
The author notes the AI community is buzzing about Jev, is using AI learning modes to understand it, and sees many promising applications worth exploring.
AI界隈でJev、Jevって盛り上がっているので、AIの学習モードとか使いながら理解を進めてみる😆 こういうのを使いながらじゃないと、理解できないものでして👴 しかし、これはまた色々と応用できて楽しそうですね🐢
· 0 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.
