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 ...

Learning Python can feel like a big task, but with the freeCodeCamp Python curriculum, it gets a lot easier. I remember when I first tried to learn Python, I bounced between tutorials, books, and ...

A JSON prompt is a simple text-based way to instruct an AI model using a JSON object so that tasks, constraints, and expected outputs are explicit and machine‑readable, which improves accuracy and ...

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 ...

So, you wanna try coding? That’s awesome! Python is a really good choice if you’re just starting out. It’s pretty straightforward to pick up, and there are tons of cool things you can do with it. The ...

https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...