March 2023

Hi, I’m Jay from the Illustrated series of blog posts about language models. You’re getting this because you’ve subscribed to my mailing list. I have recently moved it to Substack and we’re due for an update. Thanks for reading Jay Alammar’s Substack! Subscribe for free to receive new posts and support my work. Language Models are All The Rage Now It’s truly fascinating how quickly language models have been developing. Their commercial potential is now bleeding into the […]

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Today, we speak with Jesse Johnson, Ph.D., a prominent data scientist with over ten years of experience in AI. After a number of years leading data teams at biotech startups, Jesse recently founded a company called Merelogic, whose goal is to help biotech organizations turn their machine learning proof-of-concept projects into tangible impact. Jesse Johnson has transitioned from academia to biotechnology, applying his deep expertise in mathematics and data engineering to practical research and analysis of genomic structures […]

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Bias-Variance Tradeoff in Machine Learning Imagine a scenario in which a model works perfectly well with the data it was trained on, but provides incorrect predictions when it meets new, unfamiliar data. On the other hand, in certain cases, it struggles to grasp the intricacies of the data and thus fails to provide an accurate prediction. Striking a balance between accuracy and the ability to make predictions beyond the training data in an ML model is called the […]

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We’ve all heard about Haskell success stories from famous companies like Meta and Tesla. But did you know that Haskell is successfully used in plenty of enterprises, many of which you wouldn’t think of as being at the forefront of technology? Our today’s guest is Rob Harrison, a Lead Architect at Flowmo.co. He has worked as a technical lead on projects for clients like Vodafone and Tesco. In the interview, we’ll be talking about his experience and techniques […]

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