marktechpost

JSON Prompting for LLMs: A Practical Guide with Python Coding Examples

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 ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
University of Vermont

Math and Python: loops and summation

While we have the Python built-in function sum() which sums the elements of a sequence (provided the elements of the sequence are all of numeric type), it’s instructive to see how we can do this in a ...
IEEE

Parallelizing nested loops on the Intel Xeon Phi on the example of the dense WZ factorization

Abstract: In this article we evaluate some strategies of parallelizing nested loops on Intel Xeon Phi on the example of the WZ factorization for dense matrices. We employ both parallelism and ...
TechRepublic

Python Metaclass Tutorial with Examples

Python, known for its simplicity and readability, is a versatile programming language used in various domains including web development, scientific computing, artificial intelligence and more. One of ...
Network World

Supermicro has a new liquid-cooled server for AI

Supermicro's new server uses a self-contained liquid cooling system, and vendors outside of the IT infrastructure market are showing interest in the technology. With data center servers running hotter ...