
Jay Alammar
@JayAlammar • 50,565 subscribers
Machine Learning Researcher and writer https://t.co/5GlbofAHs0. O'Reilly Author https://t.co/Fl3uPAZHLg. LLM Builder @Cohere.
Videos

Prior to release, we shared a version of Cohere North Mini Code with AI engineers and answered some questions. Here's a quick illustrated walkthrough of the model's architecture and training process. Small models fill an important niche. They: 1. run on more widely available hardware 2. handle tasks within a certain range of complexity 3. take on sub-tasks that larger models delegate
Jay Alammar88,715 görüntüleme • 1 ay önce

The Illustrated NeurIPS 2025: A Visual Map of the AI Frontier New blog post! NeurIPS 2025 papers are out—and it’s a lot to take in. This visualization lets you explore the entire research landscape interactively, with clusters, summaries, and Cohere LLM-generated explanations that make the field easier to grasp. Link in thread!
Jay Alammar184,504 görüntüleme • 8 ay önce

Hi #NeurIPS2024! 1- Explore ~4,500 NeurIPS papers in this interactive visualization: (Click on a point to see the paper on the website) Uses Cohere models and Leland McInnes's datamapplot/umap to help make sense of the overwhelming scale of NeurIPS. 2- Join my signing at the Cohere booth at 3PM Thursday! Come get a copy! (very limited quantities tho).
Jay Alammar28,908 görüntüleme • 1 yıl önce

I caught up with Amanda Bertsch at #NeurIPS2023, who was presenting Unlimiformer, a retrieval-augmentation method for encoder-decoder models allowing unlimited length inputs. Paper: Unlimiformer: Long-Range Transformers with Unlimited Length Input Work with Uri Alon Graham Neubig, and Matt Gormley More #NeurIPS2023 coverage to come (Follow Cohere to not miss any of it).
Jay Alammar25,862 görüntüleme • 2 yıl önce
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