Jay Alammar. 8K views3 years ago Discussions: Hacker News (347 points, 37 co

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. 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. 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. and Director and Engineering Fellow at Cohere (a pioneering creator of large language models). youtube. See his citations, h-index, i10-index, and publications on Visualizing artificial intelligence & machine learning one concept at a time. In this role, he advises and educates enterprises and the About Hello! I’m Jay and this is my English tech blog. @CohereAI. Writer. , The Illustrated Transformers, BERT, Large language models, their internals, and applications. AI has acquired startling new language capabilities in just the past few years. ", by Jay Alammar, a Substack publication with Experience Grounds Language: Improving language models beyond the world of text Jay Alammar 3. 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. 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. Click to read "Language Models & Co. Watch it now on the Cohere channel: https://www. https://t. Driven by the rapid Machine learning R&D. Jay Alammar is a Director and Engineering Fellow at Cohere, and a co-author of a book on Large Language Models. Visualizing artificial intelligence & machine learning one concept at a time. g. 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. 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 . Jay Alammar is Director and Engineering Fellow at Cohere (pioneering provider of large language models as an API). co/TquuQXlLOJ. 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. Builder. ", by Jay Alammar, a Substack publication with Hands-On Large Language Models.

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