Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

The Files app on your iPhone is a powerful tool once you understand its functionalities. In this video, you'll learn about: - Navigating the app (0:37) - Interacting with files (3:32) - Using external ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

When writing Python programs, errors are inevitable. Whether you’re reading a file, parsing user input, or making network requests, things can (and will) go wrong at runtime. If not handled properly, ...