Hacktoberfest 開源 AI 挑戰第 3 週得獎者揭曉
Congrats to the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Winners!
Hacktoberfest DEV 挑戰公佈「Slow and Steady」第 3 週得獎作品,參賽者以開放權重模型或開源 AI 打造便利自動化工具。其中一個作品令小型模型讀取物業契據的準確率由 10% 升至 99.6%,成本為 $1.15;另有作品以 Gemma 4 配合 Arduino UNO Q 讀取電郵。
Highlights winning offline AI laziness tools
The results are in for Week 3 of our five Hacktoberfest DEV Challenges! For Slow and Steady, we asked you to channel your inner sloth and build something with open-weight models or open-source AI that rewards laziness.
The builds we saw were anything but lazy. Many of you showed exactly why open innovation matters for this kind of work: automations that run offline, keep personal messages and files on your own machine, and cost nothing to keep running once they're set up.
Thank you to everyone who built with us this week. Now, let's celebrate our winners!
🎉 Congratulations To…
Featured Category Winners
Best Use of Render
Best Use of TabPFN
Best Use of Tinker
Best Use of Arduino
Best Use of DigitalOcean
Best Use of Gemma
Partner Category Winners
Best Use of Auth0 for AI Agents
Best Use of Backboard
Best Use of Browserbase
Best Use of ElevenLabs
Talk to the Book: dictating the book I owe 57 people
Best Use of Entire
Best Use of GitHub Copilot
Best Use of Mastra
Best Use of MongoDB Atlas
Best Use of Sentry Agent Tracing
Best Use of SerpApi
Best Use of Temporal
Best Use of Tiger Data
Best Use of Ultramarine
Best Use of a .tech Domain
Prizes
- Overall winner: $250 USD, a DEV++ membership, and an exclusive DEV badge
- Featured category winners: $200 USD and an exclusive DEV badge each
- Partner category winners: $100 USD and an exclusive DEV badge each
All participants with a valid submission will receive a completion badge.
A huge thank you to our partners for making these prizes possible!
What's Next?
There's still time to join our final Hacktoberfest challenge! Week 4 runs through October 31: build something spooky, or honor the past in the spirit of Día de los Muertos, using open-weight models or open-source AI.
You can find all five challenges on the HF26 DEV Challenge Hub.
Happy Hacktoberfest! 🦥
來源:DEV Community · dev.to