In this step-by-step tutorial, you'll build a neural network from scratch as an introduction to the world of artificial intelligence (AI) in Python. You'll learn how to train your neural network and make accurate predictions based on a given dataset.

Feb 3, 2025 · This AI with Python tutorial covers the fundamental and advanced artificial intelligence (AI) concepts using Python. Whether you're a complete beginner or an experienced professional, this tutorial offers a step-by-step guide to mastering AI techniques.

Jul 12, 2024 · Your Guide to Building Generative AI Models with Python in 2025. Ever wondered how AI tools create realistic images, text, and music? This comprehensive guide will walk you through building your own generative AI model using …

Mar 25, 2025 · Large language models (LLMs) are changing the way we think about AI. They help with chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with LLMs, you need the right Python libraries. In this article, we explore 10 of the Python libraries every developer should know in 2025. 1.

3 days ago · 7B parameter models (like LLaMA 2–7B or Mistral): can run on a single modern GPU with 8–12GB VRAM. 13B+ models: ideally need 24–48GB VRAM or model quantization to run on lower-end GPUs or CPU. Quantized versions (e.g., 4-bit or 8-bit): reduce RAM/GPU requirements by ~50–75%. Multilingual Capabilities

6 days ago · Embark on your AI journey with this step-by-step tutorial, designed to guide beginners through the process of building basic AI model from scratch in Python.

Nov 21, 2024 · Building a generative AI model involves several steps, from gathering data to deploying your model in the real world. The very first step is to collect the right data for your project. Here’s how you can do it: Data Selection: Decide what you want your model to create, whether it’s stories, poems, or even responses in a chatbot.

Dec 21, 2024 · Many aspiring developers and enthusiasts struggle with how to build their first AI model. The good news is that creating an AI model in Python can be straightforward and enjoyable! In this step-by-step guide, we'll walk you through the entire process of building your very first AI model.

The good news: Python’s extensive library ecosystem makes it a powerful choice for working with generative AI. While the field is vast, this article provides a high-level view of key factors —such as model selection, deployment options, and data …

Jun 6, 2024 · Python offers a plethora of libraries and frameworks for building AI applications. Choose the ones that best suit your project requirements. Common choices include: TensorFlow and PyTorch: For deep learning models. scikit-learn: For traditional machine learning algorithms. NLTK and spaCy: For natural language processing.