Build High-Speed Decision Models with Jev and Prefill-Only Inference
Learn how to build high-speed decision models using Jev and Prefill-Only Inference with PyTorch, getting AI answers without generating text word by word.
THE JEV GUIDE · CURATED EDITION
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
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Learn how to build high-speed decision models using Jev and Prefill-Only Inference with PyTorch, getting AI answers without generating text word by word.
A Jev course by Hong Kong Programming Society, covering how to build prefill-only inference and decision models from scratch. Link
The author shared on Twitter that they completed the Jev AI course on Platzi, with a link to the course certificate. Link
KGP Talkie has released a new Udemy course covering Jev AI and Laya fundamentals, introducing decision AI for beginners. Link
Laxmi Kant launched three new AI courses on Udemy, including 'Jev AI and Laya Fundamentals: Decision AI for Beginners', covering Jev AI basics for beginners. Link
One card in the feed, every sixteen, on every page of it. $50 a week, cancel any week.
The post shows how Grok, Jev, and Opus 5.5 collaborated to check a bar-bet math trick: with just 23 people, the chance of a shared birthday is 50.7%. The process covers question, explanation, verification, simulation, and animation.
A developer shares a workflow where quiz JSONL generated by GPT is processed by Jev to instantly assess difficulty, quality, and duplication against 2,300 existing questions. They note AI still can't fully judge English word difficulty for Japanese learners, so human double-checking remains.
The author introduces using the open source Jev model (Kev) to highlight sentences and get recommended grammar lessons, balancing efficiency and comprehension.
Give any sentence and Jev picks related emojis for its words to aid language teaching through visual association. Built with Nuxt and one-shotted by Opus 5.5.
Dr. Raj Abhijit Dandekar joins Professor Tom Yeh's 'AI by Hand' community to teach 'Jev to Kernels by Hand', tracing AI from first principles to GPU kernels by hand. The session is on Oct 9 at 9:30 PM IST. Link
The author is building a study tool that uses LLMs to generate interactive lessons and written quizzes, with instant feedback powered by Jev to speed up math learning.
A developer builds a personal study app that uses the Jev model to classify and grade answers, incorporating neuroscience methods like active recall and spaced repetition for better learning.
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