Latest Posts

Guide to All 70+ Scikit-Learn Models and When to Use Them

By Wei Ming T. on Jan 13, 2025

Explore every model available in Scikit-Learn, when to use them, and how they work. This guide offers a beginner-friendly explanation of the key concepts and includes practical Python code examples for hands-on learning.

Getting Started with Retrieval-Augmented Generation (RAG) For Developers

By Wei Ming T. on Jan 12, 2025

Learn how to harness Retrieval-Augmented Generation (RAG) to build intelligent systems that combine the power of generative AI with external knowledge. From foundational concepts to implementation strategies, this guide provides everything you need to get started.

How To Run MoonDream Vision Model (MacOS)

By Wei Ming T. on Jan 10, 2025

Moondream is a compact vision language model designed for image understanding and natural language interaction. This guide provides step-by-step instructions to set up and run Moondream on macOS, including necessary dependencies and an example script.

7 Steps Guide To Kaggle Competition For Machine Learning Beginners

By Wei Ming T. on Jan 10, 2025

Starting your journey on Kaggle can be exciting yet overwhelming. From Python fundamentals to mastering machine learning libraries, this comprehensive guide will help you navigate the key steps to make the most of Kaggle as a beginner.

TensorFlow vs PyTorch: Which Framework to Learn in 2025?

By Wei Ming T. on Jan 6, 2025

Should you learn TensorFlow or PyTorch in 2025? PyTorch is gaining momentum, but knowing both frameworks remains practical for a well-rounded ML career. This guide explores why PyTorch is the future while emphasizing the importance of foundational concepts.

How to Run DeepSeek V3

By Ryan A. on Jan 6, 2025

DeepSeek V3 is a powerful Mixture-of-Experts (MoE) language model, designed for high efficiency and scalability. This in-depth guide covers system requirements, setup instructions, and advanced optimization strategies to ensure a seamless experience running DeepSeek V3 locally or in distributed environments.

Understanding ModernBERT: The Future of Efficient Language Processing

By Ryan A. on Dec 21, 2024

ModernBERT redefines what encoder-based language models can achieve by integrating state-of-the-art improvements in efficiency, scalability, and performance. This post explores how ModernBERT works, its advancements over BERT, and its impact on natural language processing tasks.

GPU Requirement Guide for Llama 3 (All Variants)

By Wei Ming T. on Dec 11, 2024

System requirements for running Llama 3 models, including the latest updates for Llama 3.3. This guide will help you prepare your hardware and environment for efficient performance.

How to Get Started with Quantum Machine Learning

By Ryan A. on Dec 10, 2024

Quantum Machine Learning is an emerging field at the intersection of quantum computing and artificial intelligence. This guide covers the foundational steps, tools, and resources you need to begin exploring this fascinating domain.

Getting Started with Llama 3.3 on Ubuntu Linux with Ollama

By Wei Ming T. on Dec 9, 2024

Learn how to install and run Meta's powerful Llama 3.3 model on Ubuntu Linux with Ollama. A complete guide for effortless setup, optimized usage, and advanced AI capabilities