Allen Institute of Artificial Intelligence
AI for the Common Good.
192 followers
AI for the Common Good.
192 followers
Objaverse is A massive dataset with 800k+ annotated 3D objects. Objaverse improves upon present day 3D repositories in terms of scale, number of categories, and in the visual diversity of instances within a category.
This is the 8th launch from Allen Institute of Artificial Intelligence. View more
SERA
Launching today
SERA is a family of open coding models (8B, 14B, 32B) trained with a new efficient method. SERA learns from "soft-verified" data, drastically reducing training costs. Easily adaptable to private codebases. Open weights, data & recipes.
Free
Launch Team
Flowtica Scribe
Hi everyone!
SERA (Soft-verified Efficient Repository Agents) is the latest from Ai2's Open Coding Agents project. They just updated it with a new 14B model and refreshed datasets.
Two technical points make this approach interesting:
First, SERA proves that models can learn effectively from "partially correct" patches—much like humans learning through debugging. This insight pushes synthetic data costs down significantly, with entry-level reproduction costing just ~$400.
Second, for teams with private codebases or specific internal frameworks, this is a solid option. You can specialize these models to your own stack efficiently.
Since they released everything (weights, data, recipe), it is a great resource if you want to build custom agents!
This post, written by @tim_dettmers, covers the story behind building SERA.
nice tool ! I need ot check that !