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.
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.
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.
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.
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.
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.
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.
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.
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.
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