In [Part 1](https://github.com/pw2/STAN-Blog-Tutorials/blob/main/STAN%20Part%201%20-%20Intro%20to%20STAN%20Code.Rmd) we laid the ground work for coding in `STAN` and ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

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Spontaneous regression of cancer is an uncommon event observed most often in neuroblastoma, leukemia, lung cancer, and melanoma. The underlying mechanisms are not fully understood; however, infections ...

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...

Abstract: This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). GPR models have been widely used in machine learning applications due to their representation ...

Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

Microsoft is betting big on AI. Starting with integrating Bing with ChatGPT, it has implemented AI capabilities in its products. Microsoft Designer is a new product from Microsoft with AI capabilities ...

Imagine this: you’re in the middle of an important project, juggling deadlines, and collaborating with a team scattered across time zones. Suddenly, your computer crashes, and hours of work vanish in ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...