Maarten Grootendorst is a member of technical staff at Google DeepMind. He holds master's degrees in organizational psychology, clinical psychology, and data science, which he leverages to communicate complex machine learning concepts to a wide audience. With his popular blogs (https://newsletter.maartengrootendorst.com), he has reached millions of readers by explaining the fundamentals of artificial intelligence, often from a psychological point of view. He is the author and maintainer of several open source packages that rely on the strength of large language models, such as BERTopic, PolyFuzz, and KeyBERT. His packages are downloaded millions of times and used by data professionals and organizations worldwide. Jay Alammar is director and engineering fellow at Cohere (pioneering provider of secure AI for the enterprise). In this role, he conducts machine learning research improving the agentic and tool use abilities of large language models. Through his popular AI/ML blog (https://jalammar.github.io) and Substack (https://newsletter.languagemodels.co), Jay has helped millions of researchers and engineers visually understand, use, and build machine learning tools, concepts, and models. Jay is also a co-creator of popular machine learning and natural language processing courses on Deeplearning.ai and Udacity.

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Maarten Grootendorst is a member of technical staff at Google DeepMind. He holds master's degrees in organizational psychology, clinical psychology, and data science, which he leverages to communicate complex machine learning concepts to a wide audience. With his popular blogs (https://newsletter.maartengrootendorst.com), he has reached millions of readers by explaining the fundamentals of artificial intelligence, often from a psychological point of view. He is the author and maintainer of several open source packages that rely on the strength of large language models, such as BERTopic, PolyFuzz, and KeyBERT. His packages are downloaded millions of times and used by data professionals and organizations worldwide. Jay Alammar is director and engineering fellow at Cohere (pioneering provider of secure AI for the enterprise). In this role, he conducts machine learning research improving the agentic and tool use abilities of large language models. Through his popular AI/ML blog (https://jalammar.github.io) and Substack (https://newsletter.languagemodels.co), Jay has helped millions of researchers and engineers visually understand, use, and build machine learning tools, concepts, and models. Jay is also a co-creator of popular machine learning and natural language processing courses on Deeplearning.ai and Udacity.

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Maarten Grootendorst is a member of technical staff at Google DeepMind. He holds master's degrees in organizational psychology, clinical psychology, and data science, which he leverages to communicate complex machine learning concepts to a wide audience. With his popular blogs (https://newsletter.maartengrootendorst.com), he has reached millions of readers by explaining the fundamentals of artificial intelligence, often from a psychological point of view. He is the author and maintainer of several open source packages that rely on the strength of large language models, such as BERTopic, PolyFuzz, and KeyBERT. His packages are downloaded millions of times and used by data professionals and organizations worldwide. Jay Alammar is director and engineering fellow at Cohere (pioneering provider of secure AI for the enterprise). In this role, he conducts machine learning research improving the agentic and tool use abilities of large language models. Through his popular AI/ML blog (https://jalammar.github.io) and Substack (https://newsletter.languagemodels.co), Jay has helped millions of researchers and engineers visually understand, use, and build machine learning tools, concepts, and models. Jay is also a co-creator of popular machine learning and natural language processing courses on Deeplearning.ai and Udacity.

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