Загрузка видео...

Не удалось загрузить видео

На главную

Introducing the Jev completions API and Jev Playground. Replace your outdated LLMs with the future of text generation. Also, Jev is now available in our AI gateway, have fun!

59,604 просмотров • 3 дней назад •via X (Twitter)

Комментарии: 17

Фото профиля Alexandre Pesant
Alexandre Pesant3 дней назад

Note: you should not use this. Using Jev for next character prediction makes no sense. Jev is however a great model for classification and scoring, and you should be using this everywhere :)

Фото профиля Jesper
Jesper3 дней назад

Great - it only took 3.8 secs. to figure out that the capital of France is Paris 😉

Фото профиля Younes Lesfer
Younes Lesfer3 дней назад

lmao, what are we supposed to do with this?

Фото профиля RAZA | AI EXPLORER
RAZA | AI EXPLORER3 дней назад

Exciting launch. Jev looks promising for text generation.

Фото профиля Gabriel Eisbruch
Gabriel Eisbruch3 дней назад

We took another playground direction: editable typed questions about deployments, with rules producing the verdict. Curious whether yours lets people inspect the candidate choices and probabilities behind each step.

Фото профиля Subham Kumar
Subham Kumar3 дней назад

worthless

Фото профиля Coach Shweta Bajaj
Coach Shweta Bajaj3 дней назад

so cool !!

Фото профиля Hemant
Hemant3 дней назад

Yea its not usable

Фото профиля Ella Tech & Tool
Ella Tech & Tool3 дней назад

Love the upgrade. Playground looks clean.

Фото профиля Siddharth Jain
Siddharth Jain3 дней назад

I could see Eiffel tower right Outta my balcony today.

Фото профиля Alice The Ai Expert
Alice The Ai Expert3 дней назад

Jev completions API + Playground looks like the future love seeing this launch!

Фото профиля Dr. Senthazal Ravi
Dr. Senthazal Ravi3 дней назад

Buggy.

Фото профиля Aaliya
Aaliya3 дней назад

I really like having a simple place to test Jev.

Фото профиля Prajwal
Prajwal3 дней назад

The comments are gonna filled with bots, congratulating on launch 😂

Фото профиля Nikita 🤙
Nikita 🤙3 дней назад

This is the worst idea. This is not what models like Jev should be doing

Фото профиля Per0x1d3
Per0x1d33 дней назад

loved how fast it is!!

Фото профиля Martin Slaney
Martin Slaney3 дней назад

Nice addition but I think you missed the whole point. Jev doesn’t generate text. It’s a decision model, not a traditional LLM.

Похожие видео

Jev has been blowing up lately. If you've got the Jev API but don't know how to play around with it yet, you can just copy this checklist. 1. jev-ultrafast A high-speed browser Agent built with Browser Use. Jev only judges "what to do, which element to click" at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds. 2. fast-jev-compaction Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it. 3. json-render Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts. 4. typesafe-mcp Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime. 5. jev-mcp Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction. 6. SemDecide Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell—great for hooking up to crawlers, CI, and data pipelines. 7. jev-codex-router First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode. 8. Winnow Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task. 9. jev-review Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard. 10. Blink Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

rody

194,422 просмотров • 3 дней назад

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: 1. agent-desktop Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. 2. typesafe-mario Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. 3. jev-drone Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. 4. OneVOneJev 1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. 5. jev-trader High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. 6. Prism Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. 7. neo4jev Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. 8. jev-curate Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. 9. Canny Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. 10. killmyidea Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

rody

314,779 просмотров • 2 дней назад