The Art of Building a Neural Network from Scratch – A Practical Guide
Step-by-step guide to building a neural network from scratch using Python and NumPy, with forward propagation, backpropagation, and training examples.
Step-by-step guide to building a neural network from scratch using Python and NumPy, with forward propagation, backpropagation, and training examples.
Multimodal models integrate text, images, audio, and video into unified AI systems. Learn how they work, their development process, and how they handle data storage for optimal performance.
Explore how Large Language Models (LLMs) reason step-by-step using CoT, RAG, tools, and more to solve problems accurately and think like humans.
A detailed comparison of CPUs, GPUs, and TPUs, covering their architecture, performance, and real-world applications, with example calculations to demonstrate their capabilities.
Learn TensorFlow from scratch with this beginner-friendly guide. Build, train, and evaluate a neural network using the MNIST dataset with step-by-step examples.
Transformers power AI models like GPT-4 and BERT, enabling machines to understand and generate human-like text, transforming how we interact with technology.
Discover how to create, fine-tune, and deploy powerful LLMs with customized Retrieval-Augmented Generation (RAG) using Ollama. Learn best practices, optimize performance, and integrate RAG for accurate, domain-specific responses.
Learn how to integrate AI-driven image generation into your workflow with Ollama, Stable Diffusion, ComfyUI, and DALL·E. This guide covers setup, benefits, and real-world applications of these powerful tools.
Learn the basics of HTTP streaming in this beginner-friendly guide. Discover how to deliver data in real-time for faster, more efficient web applications.