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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.

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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

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

88,715 次观看 • 1 个月前

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!

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!

184,504 次观看 • 8 个月前

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).

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).

28,908 次观看 • 1 年前

Awesome poster presentation by Niklas Muennighoff for the paper "Scaling Data-Constrained Language Models" at #NeurIPS2023 Kudos Sasha Rush Boaz Barak Teven Le Scao Ola Piktus Nouamane Tazi Sampo Pyysalo Thomas Wolf @colinraffel

Awesome poster presentation by Niklas Muennighoff for the paper "Scaling Data-Constrained Language Models" at #NeurIPS2023 Kudos Sasha Rush Boaz Barak Teven Le Scao Ola Piktus Nouamane Tazi Sampo Pyysalo Thomas Wolf @colinraffel

29,377 次观看 • 2 年前

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).

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).

25,862 次观看 • 2 年前

Alphaxiv is an awesome way to discuss ML papers -- often with the authors themselves. Here's an intro and demo by Raj Palleti at #neurips2024 .

Alphaxiv is an awesome way to discuss ML papers -- often with the authors themselves. Here's an intro and demo by Raj Palleti at #neurips2024 .

11,014 次观看 • 1 年前

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