Jay Alammar. Jay Alammar is Director and Engineering Fellow at Cohere (p

Jay Alammar is Director and Engineering Fellow at Cohere (pioneering provider of large language models as an API). Visualizing artificial intelligence & machine learning one concept at a time. and Director and Engineering Fellow at Cohere (a pioneering creator of large language models). Read our book, Hands-On Large Language Models and follow me on LinkedIn, Discussions: Hacker News (98 points, 19 comments), Reddit r/MachineLearning (164 points, 20 comments) Translations: Chinese Jay Alammar is co-author of Hands-On Large Language Models, published by O'Reilly Media. https://t. @CohereAI. In this role, he advises and educates enterprises and the About Hello! I’m Jay and this is my English tech blog. See his citations, h-index, i10-index, and publications on Visualizing artificial intelligence & machine learning one concept at a time. Click to read "Language Models & Co. g. 8K views3 years ago Discussions: Hacker News (347 points, 37 comments), Reddit r/MachineLearning (151 points, 19 comments) Translations: Chinese (Simplified), French, Korean, Portuguese, Jay Alammar Visualizing machine learning one concept at a time. com/watch?v=plCvF I asked leading researchers Jay Alammar is a machine learning researcher and author of The Illustrated Transformer and other visual guides to NLP topics. He is also a popular AI Through his popular AI/ML blog, Jay has helped millions of researchers and engineers visually understand machine learning tools and concepts (e. Builder. Writer. In this role, he advises and educates enterprises and the Discussions: Hacker News (65 points, 4 comments), Reddit r/MachineLearning (29 points, 3 comments) Translations: Arabic, Chinese . The most popular posts here are: The Illustrated Transformer (Referenced in AI/ML Courses at MIT, and Cornell) The Illustrated Excellent build up of educational content and papers for building a solid understanding of Transformer architecture and its later developments by Jay Alammar Start with - A pictorial Discussions: Hacker News (98 points, 19 comments), Reddit r/MachineLearning (164 points, 20 comments) Translations: Chinese •Gain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning Jay Large language models, their internals, and applications. 8K views3 years ago The Illustrated DeepSeek-R1 A recipe for reasoning LLMs Jay Alammar Jan 27, 2025 765 24 Experience Grounds Language: Improving language models beyond the world of text Jay Alammar 3. Jay Alammar is a Director and Engineering Fellow at Cohere, and a co-author of a book on Large Language Models. , The Illustrated Transformers, BERT, Large language models, their internals, and applications. youtube. ", by Jay Alammar, a Substack publication with Experience Grounds Language: Improving language models beyond the world of text Jay Alammar 3. ", by Jay Alammar, a Substack publication with Hands-On Large Language Models. AI has acquired startling new language capabilities in just the past few years. Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Discussions: Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments) Translations: Simplified Chinese, French, Korean, Russian, Turkish Wij willen hier een beschrijving geven, maar de site die u nu bekijkt staat dit niet toe. Driven by the rapid Machine learning R&D. co/TquuQXlLOJ. Watch it now on the Cohere channel: https://www.

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