Hey there, AI enthusiasts! Ready to dive into the exciting world of Llama 3.2? This guide is your ticket to turning this powerful but pint-sized AI model into your very own customized assistant. We'll walk you through every step – from playing with pre-trained models to fine-tuning them to your specific needs, and deploying it locally with Llama Assistant.

Privacy in AI is a hot topic. I created Llama Assistant to provide a privacy-focused alternative to popular AI assistants like ChatGPT or Claude AI. In this blog post, I'll share my motivation behind creating Llama Assistant and how it differs from other AI assistants.

Django is a powerful and popular Python web framework known for its ease of use and flexibility. However, as your web application grows in complexity and traffic, it's crucial to optimize it for high performance to ensure responsiveness and scalability, especially if you're building data-intensive or large-scale applications. In this blog post, we'll explore various strategies and best practices for optimizing Django for peak performance.

A short review of advancements in YOLO-NAS - a new YOLO architecture born from Neural Architecture Search.

Let's see the magic of Segment Anything and YOLO to create a smart image labeling tool in my newest open-source project - AnyLabeling.

Machine learning is now focusing more on the data (data-centric AI), and MLOps is obviously the way to bring ML projects into production. Today, I will review three popular MLOps frameworks, which are Airflow, MLflow and Kubeflow. The target is to answer two questions: what are the differences between them, and which ...