tutorials
A Step-by-Step Guide to Creating a Conversational Chatbot Using Rasa
Build a conversational chatbot from scratch using Rasa, with step-by-step guidance on intents, stories, training, custom actions, and deployment.
Tutorials
How to use AI tools and techniques
Practical tutorials that help you actually use AI tools effectively. From prompt engineering basics to advanced techniques, learn how to get the most out of ChatGPT, Claude, Midjourney, and other AI systems. Step-by-step guides for developers, content creators, and anyone looking to integrate AI into their workflow.
tutorials
Getting Started with Text Classification Using Scikit-learn
Learn how to build a text classification model using Scikit-learn. Step-by-step guide covers preprocessing, training, evaluation, and tips for improvement.
tutorials
Building Custom Image Classifiers with PyTorch: A Step-by-Step Guide
Learn how to build and train custom image classifiers with PyTorch. This step-by-step tutorial covers data handling, model design, evaluation, and transfer learning.
tutorials
A Practical Guide to Fine-Tuning Neural Networks with Transfer Learning
Learn the essential steps for fine-tuning neural networks with transfer learning. This hands-on tutorial covers selection, preparation, training, and common pitfalls.
tutorials
Building a Sentiment Analysis Tool with Python and Transformers
This hands-on guide shows how to create a sentiment analysis tool using Python and Hugging Face Transformers, from data prep to model deployment.
tutorials
A Step-by-Step Guide to Building a Recommendation System with Scikit-learn
Learn how to build a basic user-based collaborative filtering recommendation system with Scikit-learn. Step-by-step guide with code and practical tips.
tutorials
Fine-Tuning Large Language Models: A Step-by-Step Tutorial with Hugging Face Transformers
Learn to fine-tune large language models for custom NLP tasks using Hugging Face Transformers, with step-by-step guidance for setup, tokenization, and training.
tutorials
How to Implement Attention Mechanisms in Neural Networks: A Practical Tutorial
Learn how to integrate attention mechanisms into your neural networks with this hands-on tutorial. Boost model performance and interpretability.
tutorials
How to Deploy a Machine Learning Model with FastAPI: A Step-by-Step Tutorial
Learn how to deploy your trained machine learning model using FastAPI, making it accessible via a REST API for real-world applications.
tutorials
Building Your First Convolutional Neural Network for Image Classification with PyTorch
Learn how to build and train a simple convolutional neural network for image classification using PyTorch and the MNIST dataset, perfect for beginners in AI and machine learning.
tutorials
Step-by-Step Guide to Implementing a Basic GAN for Image Generation
Learn how to build and train a simple Generative Adversarial Network (GAN) using Python and TensorFlow to generate images, with step-by-step instructions for beginners in AI.
tutorials
A Comprehensive Guide to Fine-Tuning Large Language Models for Custom Applications
Learn how to fine-tune large language models for custom AI applications in this step-by-step tutorial, covering setup, training, and evaluation to enhance your machine learning projects.