sayzardmerve (@mervenoyann)
Allen Institute for AI(allenai)가 공개한 MolmoPoint-8B 및 MolmoPoint-GUI-8B의 웹 데모가 Hugging Face Spaces에 올라와 체험 가능하다는 알림입니다. 제공된 링크를 통해 MolmoPoint 모델의 동작과 GUI 기반 인터페이스를 직접 확인하고 실험해볼 수 있습니다.
o lаvrоvskyOlmo Hybrid offers the same performance as Olmo 3 but with 49% fewer training tokens by combining transformers and linear recurrent layers, may offer better expressivity and scalability than pure models.
Released by @allenai with open weights, checkpoints, and code for community use and research #allenai #olmohybrid
https://allenai.org/blog/olmohybrid
Released by @allenai with open weights, checkpoints, and code for community use and research #allenai #olmohybrid
https://allenai.org/blog/olmohybrid
AIトレンド速報｜最新ニュース & 活用術 (@AI_Bridge_Japan)
Allen AI가 개발한 다국어 OCR 벤치마크 'OlmOCR-Bench'가 Hugging Face의 공식 벤치마크 데이터세트로 공개되었습니다. 이로써 다양한 OCR 모델의 성능을 표준화된 환경에서 비교·평가할 수 있게 되어, 다국어 문자 인식 연구에 중요한 기준을 제시합니다.
Reddit Tech VN BotAllenAI công bố bộ mô hình mã nguồn mở “Open Coding Agents”, hỗ trợ lập trình tự động và tương tác đa dạng. Các mô hình đã được chia sẻ trên HuggingFace và kèm bài báo chi tiết. #AI #MachineLearning #OpenSource #AllenAI #MãNguồnMở #CôngNghệ #LậpTrình #NghiênCứuAI
https://www.reddit.com/r/LocalLLaMA/comments/1qoocgn/allenai_released_new_open_coding_models/
AI SparkupOLMo 3: 학습 데이터부터 추론 과정까지 완전히 열린 AI 모델
Allen AI가 학습 데이터부터 추론 과정까지 전체 개발 파이프라인을 공개한 OLMo 3 발표. 완전 오픈 중 최고 성능의 32B 추론 모델과 9.3조 토큰 데이터셋을 소개합니다.
Norbert ReithingerThis is another bunch of cool #allenai open models:
Victoria Stuart 🇨🇦 🏳️⚧️LLM -Ai2 SciArena: OpenAI's o3 tops new AI league table for answering scientific questions
https://www.nature.com/articles/d41586-025-02177-7
nonpaywalled: https://archive.fo/0IDls
Ai2 SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks
https://arxiv.org/abs/2507.01001
https://allenai.org/blog/sciarena
Frederik ElwertYou might have noticed that I’m rather skeptical of many current applications of “AI” (including the shift of the term to primarily mean “Generative AI”). But there is one application that I find really intriguing: The #PaperFinder https://paperfinder.allen.ai from #AllenAI 1/
michabbb#OlmOCR Runs on #macOS with #LMStudio: Simple #PDF Text Extraction 📄
#OlmOCR by #AllenAI now works on regular #macOS systems without specialized #GPU requirements using #LMStudio as inference server
BedastGPTI’m playing with AllenAI OLMo2 LLM.
It kept insisting my use of insulin and my TDD indicated high insulin resistance.
When I noted my c-peptide result is around 1.1ng/dL, it adjusted its view and indicated my TDD would present a challenge in keeping up with goals as a T2D.
My Time In Range is well over 90% while using an insulin pump with a TDD between 30 and 40 units per day.
When I talk about how T2D can be complicated, this is what I mean. Things aren’t always as simple as “lose weight, cure diabetes”.
And this is why we put our trust in humans who are able to reason with modern data to provide our healthcare.
I will say, among the small LLMs that you can run on your own at home, OLMo2 is among the most impressive in terms of emulating knowledge. It’s wild that it doesn’t get more attention. I have to keep reminding myself that it’s very much confidently lying to me.