PCMag Australia

With Nvidia's GB10 Superchip, I’m Running Serious AI Models in My Living Room. You Can, Too

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

How to vibe-code an SEO tool without losing control of your LLM

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview extractor step by step.
GitHub

prompt-chaining

Experimental interface environment for open source LLM, designed to democratize the use of AI. Powered by llama-cpp, llama-cpp-python and Gradio. Turnkey prompt-chaining template for Claude/OpenAI ...
GitHub

prompt-chaining

PromptChain is a local‑first, inspectable prompt‑chaining framework. It runs YAML‑defined multi‑step pipelines, stores all run artifacts on disk, supports Ollama by default, and can optionally use ...
Windows Central

Microsoft just made a command line version of the Microsoft Store for Windows 11 — install and update your apps without a GUI

Microsoft has announced the Store CLI, a command-line interface for managing and installing Windows apps from the Microsoft Store. It's similar to WinGet, except the Store CLI only works for apps that ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

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 ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

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

Prompt Engineering for Python Code Debugging with Large Language Models: A Comparative Analysis of Zero-Shot, Few-Shot, and Chain-of-Thought Approaches

Abstract: This paper presents a comprehensive comparative analysis of three distinct prompt engineering strategies—Zero-Shot, Few-Shot, and Chain-of-Thought—for Python code debugging applications ...