Ai2 Paper Finder is the LLM-powered literature search that mimics the human research process. Uses iterative search and reasoning to find hard-to-find papers beyond keywords.

OLMo 2 32B is the most capable and largest model in the OLMo 2 family. High-performance, fully open LLM. Outperforms GPT-3.5 Turbo & GPT-4o mini. Trained efficiently on 6T tokens.

Tülu 3 405B, the latest in the Tülu 3 series, outperforms DeepSeek-V3, rivals GPT-4o & other open-weight post-trained models like Llama 3.1. Leveraging Reinforcement Learning from Verifiable Rewards (RVLR), it scales to 405B parameters, setting new benchmarks.

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.